We have excellent contract job opportunity for Observability/Monitoring Service Owner - Cloud for our leading client. Role overview Own the technical execution of the Observability solutions, integration of monitoring tools, leveraging the ai capabilities in the NOW platform to manage events of client's Transform products and technical platforms. Contract - 6 months (high potential to extend further) Location - Waterside (UB7 0GB) (2-3 days per week onsite) Pay - attractive daily rate (inside IR35) In this role, you will Leadership and Governance: Lead and own the IT observability, Automation and Autohealing services for IAG Transform. Foster a culture of innovation, collaboration, and continuous improvement in the organisation. Develop and implement policies, process and procedures for observability service. Define standards for logs, event alerts and quality assurance. Establish governance frameworks to ensure consistent and compliant usage of observability tools. Set up technical review gov board for any monitoring solutions to define/validate/endorse monitoring strategies, solutions, demands, etc. Conduct regular audits to ensure compliance with established policies and standards. Responsible for providing an observability centre of excellence, own and provide observability solutions to product and platform teams. Innovation and Strategy: Develop strategies to leverage new observability tools and technologies to enhance IT service operations and overall business operations. Lead proof-of-concept initiatives to automation resolution of events and incidents. Introduce and implement new machine learning models and aiops features. Process Improvement: Responsible to identify service optimisation initiatives to mature the overall service. Continuously improve IT and business service availability through effective use of observability and automation tooling. Identify opportunities to automate processes and reduce manual efforts. Optimise metric intelligence. Vendor Management: Manage vendors and partners to provide best in class service to meet IAG requirements. Manage vendor relationships, service-level agreements (SLAs), escalations and CSI plans. Evaluate and select new vendors and tools as needed. Observability Tooling Architecture: Design and oversee the implementation of a comprehensive enterprise observability tooling architecture and strategy that supports ITSM, monitoring, observability, automation, and delivery management. Engage in AiOps project to ensure that the key monitoring tools like Datadog, AWS, Azure monitor, Dynatrace, etc is feeding the right logs and metrics into event mgt module in service now. Optimize observability tooling infrastructure to improve efficiency, reliability, and performance. Ensure that all tools integrate seamlessly with each other and with other enterprise systems. Develop and maintain a roadmap for enterprise tool enhancements and upgrades. Set up business service monitoring dashboards for the critical business services Automation & Autohealing: Own the automation and autohealing service, platforms and tools. Define the automation and autohealing policy, process and procedure. Identify potential use cases for automation and autohealing and take it through the right governance to implement automation playbooks using ansible or any AWS/AZURE native services that seem fit for the use case. Responsible for reduction in manual efforts in service ops and increase in automation. Tool Integration and Optimization: Work collaboratively with cross-functional teams to ensure integration of tools across the Enterprise to reduce manual effort and maximise quality and productivity. Define the technical specifications, standards, and policy for technical integration of monitoring tools into ServiceNow/Ansible. Validate the technical architecture of the integration to ensure its fit for use, fit for purpose, its scalable and flexible to meet the demands of measuring business services. Implement best practices, industry standards and frameworks for configuration and usage of observability and automation technology tools. ITSM Tooling: Responsible to identify opportunities to increase the proactive prediction, detection and restoration of events and incidents using machine learning models. Responsible to leverage the aiops, service now to increase the automation of resolution. Design and oversee the implementation of ITSM tooling solutions that support ITIL-aligned processes. Work collaboratively with cross-functional teams to ensure integration of ITSM tools with other essential enterprise tools (eg, monitoring, CMDB, service desk, automation tools). Training and Support: Provide training and support to technology staff on the effective use of observability and automation services. Serve as a subject matter expert for enterprise tools and related technologies. Skills Minimum Requirements: Extensive experience (typically 15+ years) in observability and automation technology, tools, service, process with a strong focus on management, effectiveness and architecture. Significant experience in observability and automation architecture and enterprise systems. Proven expertise in designing, implementing, and managing a variety of observability tools such as Cloudwatch, Azure monitor, Datadog, ThousandEyes, etc. Proven expertise in designing, implementing and managing a variety of automation and autohealing tools such as ansible, NextThink and native AWS/Azure services. Experience of integrating with other industry tooling such as ServiceNow, Ansible, Next Think, GitHub, and other DevOps tooling. Experience with industry standard SDLCs including but not limited to Agile, Waterfall, Hybrid, product operating model, etc. Demonstrated ability to integrate and optimize observability tooling across complex IT environments in cloud hosting specifically AWS & Azure, On-Prem and SaaS. Preferred experience with range of cloud native solutions ie Kubernetes monitoring. Experience and knowledge of Service now platform, preferably ITSM/ITOM/AIOps including Metrics intelligence. Experience in defining and owning the event management and automation process. Strong understanding of event correlation, noise reduction techniques which will complement the AIOps, automation and autohealing capabilities. Experience with defining observability, automation and autohealing strategies to increase the coverage and adoption across the landscape. Experience embedding observability, automation and autohealing practices into BAU operations through service design and service operations processes. Additional/Desirable: Strong understanding of ITSM best practices and principles; ITIL certification is preferred. Experience of managing and working with vendors/offshore teams to support day to day activities. Ability to lead and motivate cross-functional teams and the skill to influence stakeholder decision-making with data-driven insights. Flexibility to adapt to changing organizational requirements, technologies, and methodologies. Excellent communication skills with a capacity to present, discuss and disseminate technical concepts in a business language to multiple audiences. Deep understanding of service value for customers and driving continuous improvement through automation. Initiates and manages change to help shape the future direction of IAG Tech and organisation. Collaborative, open working, resulting in recognition as a valued partner by colleagues, customers and senior stakeholders across the organisation. Clear decision-making ability with the facility to judge complex situations and assess when to escalate issues. Demonstrates a passion for and commitment to continuous personal professional development. Critical Skills: Excellent analytical, problem-solving, and strategic thinking skills. Strong communication and interpersonal skills with the ability to work effectively with cross-functional teams. Exceptional organizational, communication, and interpersonal skills specific to a fast-paced, global corporate environment. Robust problem-solving and analytical capabilities. Experience in vendor management and negotiation. Excellent verbal and written communication skills to effectively convey change proposals, document architecture and processes and liaise with stakeholders at all levels. Meticulous attention to detail to ensure accuracy and thoroughness.
28/07/2026
Contractor
We have excellent contract job opportunity for Observability/Monitoring Service Owner - Cloud for our leading client. Role overview Own the technical execution of the Observability solutions, integration of monitoring tools, leveraging the ai capabilities in the NOW platform to manage events of client's Transform products and technical platforms. Contract - 6 months (high potential to extend further) Location - Waterside (UB7 0GB) (2-3 days per week onsite) Pay - attractive daily rate (inside IR35) In this role, you will Leadership and Governance: Lead and own the IT observability, Automation and Autohealing services for IAG Transform. Foster a culture of innovation, collaboration, and continuous improvement in the organisation. Develop and implement policies, process and procedures for observability service. Define standards for logs, event alerts and quality assurance. Establish governance frameworks to ensure consistent and compliant usage of observability tools. Set up technical review gov board for any monitoring solutions to define/validate/endorse monitoring strategies, solutions, demands, etc. Conduct regular audits to ensure compliance with established policies and standards. Responsible for providing an observability centre of excellence, own and provide observability solutions to product and platform teams. Innovation and Strategy: Develop strategies to leverage new observability tools and technologies to enhance IT service operations and overall business operations. Lead proof-of-concept initiatives to automation resolution of events and incidents. Introduce and implement new machine learning models and aiops features. Process Improvement: Responsible to identify service optimisation initiatives to mature the overall service. Continuously improve IT and business service availability through effective use of observability and automation tooling. Identify opportunities to automate processes and reduce manual efforts. Optimise metric intelligence. Vendor Management: Manage vendors and partners to provide best in class service to meet IAG requirements. Manage vendor relationships, service-level agreements (SLAs), escalations and CSI plans. Evaluate and select new vendors and tools as needed. Observability Tooling Architecture: Design and oversee the implementation of a comprehensive enterprise observability tooling architecture and strategy that supports ITSM, monitoring, observability, automation, and delivery management. Engage in AiOps project to ensure that the key monitoring tools like Datadog, AWS, Azure monitor, Dynatrace, etc is feeding the right logs and metrics into event mgt module in service now. Optimize observability tooling infrastructure to improve efficiency, reliability, and performance. Ensure that all tools integrate seamlessly with each other and with other enterprise systems. Develop and maintain a roadmap for enterprise tool enhancements and upgrades. Set up business service monitoring dashboards for the critical business services Automation & Autohealing: Own the automation and autohealing service, platforms and tools. Define the automation and autohealing policy, process and procedure. Identify potential use cases for automation and autohealing and take it through the right governance to implement automation playbooks using ansible or any AWS/AZURE native services that seem fit for the use case. Responsible for reduction in manual efforts in service ops and increase in automation. Tool Integration and Optimization: Work collaboratively with cross-functional teams to ensure integration of tools across the Enterprise to reduce manual effort and maximise quality and productivity. Define the technical specifications, standards, and policy for technical integration of monitoring tools into ServiceNow/Ansible. Validate the technical architecture of the integration to ensure its fit for use, fit for purpose, its scalable and flexible to meet the demands of measuring business services. Implement best practices, industry standards and frameworks for configuration and usage of observability and automation technology tools. ITSM Tooling: Responsible to identify opportunities to increase the proactive prediction, detection and restoration of events and incidents using machine learning models. Responsible to leverage the aiops, service now to increase the automation of resolution. Design and oversee the implementation of ITSM tooling solutions that support ITIL-aligned processes. Work collaboratively with cross-functional teams to ensure integration of ITSM tools with other essential enterprise tools (eg, monitoring, CMDB, service desk, automation tools). Training and Support: Provide training and support to technology staff on the effective use of observability and automation services. Serve as a subject matter expert for enterprise tools and related technologies. Skills Minimum Requirements: Extensive experience (typically 15+ years) in observability and automation technology, tools, service, process with a strong focus on management, effectiveness and architecture. Significant experience in observability and automation architecture and enterprise systems. Proven expertise in designing, implementing, and managing a variety of observability tools such as Cloudwatch, Azure monitor, Datadog, ThousandEyes, etc. Proven expertise in designing, implementing and managing a variety of automation and autohealing tools such as ansible, NextThink and native AWS/Azure services. Experience of integrating with other industry tooling such as ServiceNow, Ansible, Next Think, GitHub, and other DevOps tooling. Experience with industry standard SDLCs including but not limited to Agile, Waterfall, Hybrid, product operating model, etc. Demonstrated ability to integrate and optimize observability tooling across complex IT environments in cloud hosting specifically AWS & Azure, On-Prem and SaaS. Preferred experience with range of cloud native solutions ie Kubernetes monitoring. Experience and knowledge of Service now platform, preferably ITSM/ITOM/AIOps including Metrics intelligence. Experience in defining and owning the event management and automation process. Strong understanding of event correlation, noise reduction techniques which will complement the AIOps, automation and autohealing capabilities. Experience with defining observability, automation and autohealing strategies to increase the coverage and adoption across the landscape. Experience embedding observability, automation and autohealing practices into BAU operations through service design and service operations processes. Additional/Desirable: Strong understanding of ITSM best practices and principles; ITIL certification is preferred. Experience of managing and working with vendors/offshore teams to support day to day activities. Ability to lead and motivate cross-functional teams and the skill to influence stakeholder decision-making with data-driven insights. Flexibility to adapt to changing organizational requirements, technologies, and methodologies. Excellent communication skills with a capacity to present, discuss and disseminate technical concepts in a business language to multiple audiences. Deep understanding of service value for customers and driving continuous improvement through automation. Initiates and manages change to help shape the future direction of IAG Tech and organisation. Collaborative, open working, resulting in recognition as a valued partner by colleagues, customers and senior stakeholders across the organisation. Clear decision-making ability with the facility to judge complex situations and assess when to escalate issues. Demonstrates a passion for and commitment to continuous personal professional development. Critical Skills: Excellent analytical, problem-solving, and strategic thinking skills. Strong communication and interpersonal skills with the ability to work effectively with cross-functional teams. Exceptional organizational, communication, and interpersonal skills specific to a fast-paced, global corporate environment. Robust problem-solving and analytical capabilities. Experience in vendor management and negotiation. Excellent verbal and written communication skills to effectively convey change proposals, document architecture and processes and liaise with stakeholders at all levels. Meticulous attention to detail to ensure accuracy and thoroughness.
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Salary: Competitive Plus Benefits Location: Coventry Store Support Centre - Ansty Park and Home, Coventry, CV7 9RD Contract type: Permanent Business area: Argos Closing date: 30 July 2026 Requisition ID: At Argos, we're a digital-led UK retailer that keeps pushing boundaries to meet every generation with what they want, how and when they want it. As a market leader in general merchandise, serving millions of customers through our website, app, same-day delivery and Click & Collect services, we offer real opportunities to learn, grow and shape your career. With roles spanning Commercial, Buying, Merchandising, Design and Supply Chain, through to Digital, Operations, Customer Experience, Marketing, and People and Transformation , you will work with brilliant colleagues and directly shape how we serve our customers every day. From enabling inspiring choice across our owned brands, including Habitat, Chad Valley and Bush, alongside the world's biggest brands like Apple, Lego, Xbox and Samsung, to making shopping effortlessly convenient, championing trusted value and accelerating our strategy - Argos is an exciting place to build your future. At Argos, returns don't mark the end of a product's journey. They create opportunities to recover value, improve the customer experience and support a more sustainable future. As Head of Returns & Stock Exit, you'll lead the strategy for how we manage returns, aftersales, refurbishment, recycling and stock liquidation across the business. This is a high-profile leadership role with the opportunity to shape a significant profit centre while delivering meaningful improvements for customers and supporting our environmental commitments. Working across Commercial, Operations, Supply Chain, Digital, Tech, Finance, Ethical and Technical teams, you'll bring together customer, commercial and operational thinking to create and deliver an end-to-end strategy. You'll have full ownership of the returns and stock exit P&L, leading a diverse team and influencing stakeholders across the business to unlock value and drive change. Few roles offer the opportunity to influence customer experience, profitability and sustainability in equal measure. As Head of Returns & Stock Exit, you'll lead an area with huge potential, bringing together teams from across the business to unlock value, shape future operating models and drive long-term change. What You'll Do Define and deliver the long-term strategy for Returns & Stock Exit, creating a clear roadmap that improves customer outcomes, unlocks value and supports our sustainability ambitions. Own the Returns & Stock Exit P&L, identifying opportunities to improve profitability, reduce cost and maximise value recovery across the product lifecycle. Lead the evolution of our returns, refurbishment, recycling and stock liquidation capabilities, ensuring we have the right operating model, partnerships and processes in place for the future. Bring together teams from across Commercial, Operations, Supply Chain, Digital, Finance and Tech to deliver complex initiatives that drive meaningful business change. Build strong relationships with senior stakeholders and external partners, influencing decisions and creating alignment around a shared strategic vision. Use customer, market and performance insight to identify opportunities, challenge thinking and shape future investment priorities. Ensure Argos remains well positioned to respond to changing legislation, regulation and industry trends across returns, refurbishment and recycling. Lead and develop a high-performing team, creating an environment where people can grow, succeed and deliver their best work. Who You Are You're a strategic and commercially minded leader who enjoys solving complex problems and delivering change at scale. You're naturally curious, customer focused and able to balance multiple priorities while maintaining a clear view of the bigger picture You build strong relationships across a matrix organisation and are confident influencing senior stakeholders to gain alignment and drive action. You've got the credibility to operate at leadership level while bringing teams with you through change. You'll be comfortable working with large and complex data sets, translating insight into clear commercial recommendations and strategic decisions. Just as importantly, you'll have a track record of building and leading high-performing teams in fast-moving environments. Passionate about retail and the evolving customer landscape, you'll combine strategic thinking with a practical approach to delivery, helping shape the future of a critical area of the Argos business. Significant experience in commercial including (but not limited to) returns, reverse logistics, re-commerce, aftersales, refurbishment, recycling or stock liquidation environments. Proven experience developing and delivering commercial or operational strategies within a complex retail or multi-channel business Strong commercial leadership experience with ownership of budgets and P&L performance Strong understanding of retail operations, customer journeys and opportunities to drive value through returns, refurbishment and stock exit activity Demonstrated ability to influence and engage senior stakeholders, including executive-level audiences Experience leading large-scale change and transformation programmes Strong analytical capability with the ability to translate complex data into clear strategic actions Proven track record of leading and developing high-performing teams Excellent stakeholder management, negotiation and communication skills Ability to work cross-functionally to deliver end-to-end business outcomes We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them:Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 65% of salary, depending on how we perform (in cash and shares).Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. You'll also receive a company car cash allowance unless you are going to travel 10,000 business miles in your role, then you'll be able to choose a car. And if you ever need it there is also an employee assistance programme.Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
28/07/2026
Full time
Salary: Competitive Plus Benefits Location: Coventry Store Support Centre - Ansty Park and Home, Coventry, CV7 9RD Contract type: Permanent Business area: Argos Closing date: 30 July 2026 Requisition ID: At Argos, we're a digital-led UK retailer that keeps pushing boundaries to meet every generation with what they want, how and when they want it. As a market leader in general merchandise, serving millions of customers through our website, app, same-day delivery and Click & Collect services, we offer real opportunities to learn, grow and shape your career. With roles spanning Commercial, Buying, Merchandising, Design and Supply Chain, through to Digital, Operations, Customer Experience, Marketing, and People and Transformation , you will work with brilliant colleagues and directly shape how we serve our customers every day. From enabling inspiring choice across our owned brands, including Habitat, Chad Valley and Bush, alongside the world's biggest brands like Apple, Lego, Xbox and Samsung, to making shopping effortlessly convenient, championing trusted value and accelerating our strategy - Argos is an exciting place to build your future. At Argos, returns don't mark the end of a product's journey. They create opportunities to recover value, improve the customer experience and support a more sustainable future. As Head of Returns & Stock Exit, you'll lead the strategy for how we manage returns, aftersales, refurbishment, recycling and stock liquidation across the business. This is a high-profile leadership role with the opportunity to shape a significant profit centre while delivering meaningful improvements for customers and supporting our environmental commitments. Working across Commercial, Operations, Supply Chain, Digital, Tech, Finance, Ethical and Technical teams, you'll bring together customer, commercial and operational thinking to create and deliver an end-to-end strategy. You'll have full ownership of the returns and stock exit P&L, leading a diverse team and influencing stakeholders across the business to unlock value and drive change. Few roles offer the opportunity to influence customer experience, profitability and sustainability in equal measure. As Head of Returns & Stock Exit, you'll lead an area with huge potential, bringing together teams from across the business to unlock value, shape future operating models and drive long-term change. What You'll Do Define and deliver the long-term strategy for Returns & Stock Exit, creating a clear roadmap that improves customer outcomes, unlocks value and supports our sustainability ambitions. Own the Returns & Stock Exit P&L, identifying opportunities to improve profitability, reduce cost and maximise value recovery across the product lifecycle. Lead the evolution of our returns, refurbishment, recycling and stock liquidation capabilities, ensuring we have the right operating model, partnerships and processes in place for the future. Bring together teams from across Commercial, Operations, Supply Chain, Digital, Finance and Tech to deliver complex initiatives that drive meaningful business change. Build strong relationships with senior stakeholders and external partners, influencing decisions and creating alignment around a shared strategic vision. Use customer, market and performance insight to identify opportunities, challenge thinking and shape future investment priorities. Ensure Argos remains well positioned to respond to changing legislation, regulation and industry trends across returns, refurbishment and recycling. Lead and develop a high-performing team, creating an environment where people can grow, succeed and deliver their best work. Who You Are You're a strategic and commercially minded leader who enjoys solving complex problems and delivering change at scale. You're naturally curious, customer focused and able to balance multiple priorities while maintaining a clear view of the bigger picture You build strong relationships across a matrix organisation and are confident influencing senior stakeholders to gain alignment and drive action. You've got the credibility to operate at leadership level while bringing teams with you through change. You'll be comfortable working with large and complex data sets, translating insight into clear commercial recommendations and strategic decisions. Just as importantly, you'll have a track record of building and leading high-performing teams in fast-moving environments. Passionate about retail and the evolving customer landscape, you'll combine strategic thinking with a practical approach to delivery, helping shape the future of a critical area of the Argos business. Significant experience in commercial including (but not limited to) returns, reverse logistics, re-commerce, aftersales, refurbishment, recycling or stock liquidation environments. Proven experience developing and delivering commercial or operational strategies within a complex retail or multi-channel business Strong commercial leadership experience with ownership of budgets and P&L performance Strong understanding of retail operations, customer journeys and opportunities to drive value through returns, refurbishment and stock exit activity Demonstrated ability to influence and engage senior stakeholders, including executive-level audiences Experience leading large-scale change and transformation programmes Strong analytical capability with the ability to translate complex data into clear strategic actions Proven track record of leading and developing high-performing teams Excellent stakeholder management, negotiation and communication skills Ability to work cross-functionally to deliver end-to-end business outcomes We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them:Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 65% of salary, depending on how we perform (in cash and shares).Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. You'll also receive a company car cash allowance unless you are going to travel 10,000 business miles in your role, then you'll be able to choose a car. And if you ever need it there is also an employee assistance programme.Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
The Opportunity:Nigel Wright is delighted to have been retained by a growing manufacturing client, to lead the search for a newly created Defence Business Development Manager. The company supplies its products into multiple sectors and has seen growth in its defence revenue stream in recent years, without having been particularly proactive. Having recently taken on investment, driving its defence revenue stream is a key strategic objective in the coming years. The role is a hybrid market facing position, with a requirement for circa 2 days per week at the Company HQ in East Anglia.Role Profile: Build and deliver a Defence go-to-market plan that sets business development and account management goals, target segments, routes-to-market and a rolling 12-24 month action plan. Identify and develop new customers across the Defence sector on a proactive basis, while directly managing and growing existing customer accounts. Map and target end users, MoD departments and agencies, OEMs, system integrators and supply chain partners (Prime to Tier 3) to identify "operational and product gaps" where the Company's engineering, R&D and manufacturing capability can add value. Be accountable for achieving agreed quarterly and annual sales targets (including value, margin and mix, as applicable). Lead on tenders, proposals, pricing and bid governance. Identify, review and support implementation of accreditations and approvals relevant to defence business (including customer-specific requirements), working with internal owners to maintain compliance. Work with government and sector support bodies that facilitate defence market access and growth (e.g. introductions, programmes, innovation/CR&D opportunities and industry networks). Proactively generate leads through research and attendance at relevant tradeshows / exhibitions. Identify, qualify, acquire, train and launch indirect sales channel partners (e.g., distributors, resellers and specialist partners). Maintain disciplined CRM usage for all opportunities, contacts, activities and forecasting; ensure data quality to support management reporting and decision making. Prepare and submit structured monthly activity reports to the Sales & Management Team covering pipeline status, key account activity, risks, competitor insights and next actions. Work collaboratively with Engineering, Design, Operations, Quality and Finance to translate requirements into deliverable solutions and to support accurate resource planning and risk management. Contribute to marketing and brand activity by providing sector insight, case studies and content that supports credibility and lead generation. Package: Up to £80K (inclusive of car allowance). Bonus scheme to be defined. Person Specification: UK citizen, capable of attaining and holding UK Security Clearance (SC), with the ability to progress to DV if required. A track record of business development within the defence supply chain, and an understanding of the defence procurement pathways. Comfortable with circa 2 days per week at the East Anglia HQ (potentially with a weekly overnight stay if not commutable). A proactive business development and networking inclination and comfortable representing an organisation at exhibitions, trade shows, customer meetings and pitches.
28/07/2026
Full time
The Opportunity:Nigel Wright is delighted to have been retained by a growing manufacturing client, to lead the search for a newly created Defence Business Development Manager. The company supplies its products into multiple sectors and has seen growth in its defence revenue stream in recent years, without having been particularly proactive. Having recently taken on investment, driving its defence revenue stream is a key strategic objective in the coming years. The role is a hybrid market facing position, with a requirement for circa 2 days per week at the Company HQ in East Anglia.Role Profile: Build and deliver a Defence go-to-market plan that sets business development and account management goals, target segments, routes-to-market and a rolling 12-24 month action plan. Identify and develop new customers across the Defence sector on a proactive basis, while directly managing and growing existing customer accounts. Map and target end users, MoD departments and agencies, OEMs, system integrators and supply chain partners (Prime to Tier 3) to identify "operational and product gaps" where the Company's engineering, R&D and manufacturing capability can add value. Be accountable for achieving agreed quarterly and annual sales targets (including value, margin and mix, as applicable). Lead on tenders, proposals, pricing and bid governance. Identify, review and support implementation of accreditations and approvals relevant to defence business (including customer-specific requirements), working with internal owners to maintain compliance. Work with government and sector support bodies that facilitate defence market access and growth (e.g. introductions, programmes, innovation/CR&D opportunities and industry networks). Proactively generate leads through research and attendance at relevant tradeshows / exhibitions. Identify, qualify, acquire, train and launch indirect sales channel partners (e.g., distributors, resellers and specialist partners). Maintain disciplined CRM usage for all opportunities, contacts, activities and forecasting; ensure data quality to support management reporting and decision making. Prepare and submit structured monthly activity reports to the Sales & Management Team covering pipeline status, key account activity, risks, competitor insights and next actions. Work collaboratively with Engineering, Design, Operations, Quality and Finance to translate requirements into deliverable solutions and to support accurate resource planning and risk management. Contribute to marketing and brand activity by providing sector insight, case studies and content that supports credibility and lead generation. Package: Up to £80K (inclusive of car allowance). Bonus scheme to be defined. Person Specification: UK citizen, capable of attaining and holding UK Security Clearance (SC), with the ability to progress to DV if required. A track record of business development within the defence supply chain, and an understanding of the defence procurement pathways. Comfortable with circa 2 days per week at the East Anglia HQ (potentially with a weekly overnight stay if not commutable). A proactive business development and networking inclination and comfortable representing an organisation at exhibitions, trade shows, customer meetings and pitches.
E-commerce Trading Manager Brighton area Hybrid working £38,000-£40,000 + performance related bonus Ready to take ownership of an international e-commerce platform and help shape the next stage of a growing sports brand? Zachary Daniels is partnering with a well-established global brand in the sports and performance sector to recruit an ambitious E-commerce Trading Manager. With a newly appointed E-commerce Director, a fresh strategy and exciting growth plans, this is a brilliant time to join. You'll help shape how customers across the UK, US, Germany and other international markets discover, choose and buy market-leading products online. The Role: You'll own the day-to-day trading and performance of the website, turning customer insight and commercial data into actions that increase revenue, conversion and average order value. Your responsibilities will include: Owning daily website trading and performance Leading merchandising across the homepage, category and product pages Delivering product launches, campaigns and promotions Identifying customer journey and conversion-rate optimisation opportunities Supporting email, SMS, segmentation and retention activity Managing paid search and affiliate performance Monitoring results and producing clear commercial recommendations Working closely with marketing, product, commercial and operations teams What we're looking for: You'll have experience in e-commerce, digital marketing, online retail or a direct-to-consumer environment. You'll be commercially minded, confident with data and excited by the opportunity to make a visible impact. You won't just report the numbers-you'll use them to identify opportunities, solve problems and drive performance. Ideally, you'll bring: Strong e-commerce trading or digital marketing experience A commercial and analytical mindset An understanding of paid search, email marketing and customer retention Experience using platforms such as Shopify, Klaviyo and Google Analytics 4 Strong communication and stakeholder-management skills A proactive, hands-on approach A passion for sport, fitness, performance or outdoor living would be a real advantage. Why apply? You'll join a passionate in-house team with a clear vision, exciting plans and plenty of opportunity to bring your ideas to the table. You can expect: Hybrid and flexible working Generous staff discounts Regular team socials International e-commerce exposure Continuous development and genuine career progression The opportunity to work with innovative, market-leading products This role offers the perfect mix of ownership, creativity and commercial impact, with the support and freedom to make the position your own. Ready to help take a global sports brand to the next level? Apply today through Zachary Daniels. BH36879
28/07/2026
Full time
E-commerce Trading Manager Brighton area Hybrid working £38,000-£40,000 + performance related bonus Ready to take ownership of an international e-commerce platform and help shape the next stage of a growing sports brand? Zachary Daniels is partnering with a well-established global brand in the sports and performance sector to recruit an ambitious E-commerce Trading Manager. With a newly appointed E-commerce Director, a fresh strategy and exciting growth plans, this is a brilliant time to join. You'll help shape how customers across the UK, US, Germany and other international markets discover, choose and buy market-leading products online. The Role: You'll own the day-to-day trading and performance of the website, turning customer insight and commercial data into actions that increase revenue, conversion and average order value. Your responsibilities will include: Owning daily website trading and performance Leading merchandising across the homepage, category and product pages Delivering product launches, campaigns and promotions Identifying customer journey and conversion-rate optimisation opportunities Supporting email, SMS, segmentation and retention activity Managing paid search and affiliate performance Monitoring results and producing clear commercial recommendations Working closely with marketing, product, commercial and operations teams What we're looking for: You'll have experience in e-commerce, digital marketing, online retail or a direct-to-consumer environment. You'll be commercially minded, confident with data and excited by the opportunity to make a visible impact. You won't just report the numbers-you'll use them to identify opportunities, solve problems and drive performance. Ideally, you'll bring: Strong e-commerce trading or digital marketing experience A commercial and analytical mindset An understanding of paid search, email marketing and customer retention Experience using platforms such as Shopify, Klaviyo and Google Analytics 4 Strong communication and stakeholder-management skills A proactive, hands-on approach A passion for sport, fitness, performance or outdoor living would be a real advantage. Why apply? You'll join a passionate in-house team with a clear vision, exciting plans and plenty of opportunity to bring your ideas to the table. You can expect: Hybrid and flexible working Generous staff discounts Regular team socials International e-commerce exposure Continuous development and genuine career progression The opportunity to work with innovative, market-leading products This role offers the perfect mix of ownership, creativity and commercial impact, with the support and freedom to make the position your own. Ready to help take a global sports brand to the next level? Apply today through Zachary Daniels. BH36879
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
28/07/2026
Full time
Customer and AI Insight Analyst Contract: full-time & permanent Location: UK - WFH with travel to United Kingdom sites as required Salary: £30,000 - £33,000 DOE Great Benefits Role Overview The Customer & AI Insights Analyst will play a key role in transforming operational and AI data into meaningful business intelligence that delivers value both internally and externally. The role has two core responsibilities. Firstly, the successful candidate will develop and manage our Customer Insight as a Service proposition, producing industry specific insight reports that leverage our existing analytics platforms to identify customer behaviours, emerging trends, operational pain points and opportunities for improvement. These reports will become a key value added service for our clients, strengthening strategic partnerships and demonstrating the value of our data capabilities. Secondly, the role will establish and maintain reporting frameworks that measure the adoption, performance and business impact of AI solutions across the organisation. This includes developing executive dashboards, tracking AI utilisation across multiple technology platforms, and conducting post-implementation benefit reviews to ensure AI investments deliver measurable operational and commercial outcomes. The ideal candidate will combine strong analytical capability with commercial awareness, storytelling skills and a passion for using data to influence business decisions. Key Responsibilities Customer Insight as a Service Design and develop the UK & Ireland Customer Insight as a Service proposition. Produce monthly vertical specific customer insight reports across key industries including Banking, Insurance, Retail, Utilities and Public Sector. Analyse customer interaction data to identify behavioural trends, recurring customer issues and operational opportunities. Translate complex datasets into clear business insights and executive level recommendations. Develop standardised reporting templates and insight frameworks that can be consistently delivered across client portfolios. Work closely with Client Services, Operations and Digital teams to ensure reports address client priorities and strategic objectives. Continuously evolve the insight offering by incorporating new data sources, AI-generated insights and industry benchmarks. AI Performance & Reporting Develop executive dashboards measuring AI performance across all deployed AI products. Monitor AI transaction volumes, automation rates, containment, adoption and operational performance across multiple AI platforms. Consolidate reporting from various technology providers into a single executive reporting framework. Produce regular reporting packs for senior leadership highlighting AI performance, trends and opportunities. Ensure data quality and reporting accuracy across all AI performance metrics. Conduct post-implementation reviews for AI and digital transformation projects. Measure operational improvements against agreed business cases and success metrics. Quantify financial benefits including productivity improvements, cost savings and efficiency gains. Identify lessons learned and recommend optimisation opportunities following deployment. Produce benefit realisation reports for executive stakeholders. Continuous Improvement Identify opportunities to improve reporting automation and analytical capability. Explore new AI and analytics tools that enhance reporting and insight generation. Support the wider Digital Products & Transformation team with analytical expertise. Promote best practice in data visualisation, reporting and business intelligence. Core Skills Strong analytical skills with experience interpreting large operational datasets. Experience creating dashboards, reports and business intelligence solutions. Advanced Microsoft Excel skills. Experience with Power BI, Tableau or similar visualisation platforms. Strong understanding of KPI development and performance reporting. Ability to translate complex analysis into clear commercial recommendations. Experience producing executive-level reports and presentations. Strong problem-solving and critical thinking capability. Excellent attention to detail and analytical accuracy. Understanding of AI performance metrics and benefit measurement. Ability to work with multiple technology platforms and reporting sources. Desired Skills Experience working within a BPO, contact centre or customer operations environment. Experience producing customer journey or customer behaviour analysis. Knowledge of AI products such as conversational AI, Agent Assist and automation platforms. Experience with SQL or other data querying tools. Experience using Power BI, Microsoft Fabric or similar enterprise analytics platforms. Experience conducting benefits realisation or ROI assessments. Understanding of customer experience (CX) metrics including NPS, CSAT, CES and Voice of Customer. Degree in Business Analytics, Data Science, Mathematics, Economics or a related discipline. Experience working with large enterprise datasets and multiple reporting platforms. JBRP1_UKTJ
