Newlon Housing Trust is a successful charitable housing association and one of the major providers of new affordable housing in north and east London.
We have an opportunity for an experienced data analyst to work with Newlon’s Business Intelligence Lead ensuring that all data is accurate, reliable and trusted enabling the delivery of quality reports.
To include:
Business intelligence – gathering data and ensuring data quality to provide residents, colleagues and decision makers with accurate information.
Reporting – creating engaging and informative reports and present findings to decision makers to support the delivery of excellent services, the maintenance of high-quality homes and the ability to make efficient and effective decisions.
Benchmarking – comparing Newlon’s performance with other organisations to demonstrate areas of good practice and identify opportunities for improvement.
Insight – applying your critical thinking and communication skills to interpret data, identify trends and anomalies, and provide high-quality analysis.
You will work in partnership with the IT and service teams and provide ongoing assurance to managers and senior leaders with regards to data quality and improvement.
With proven experience of working in a data driven environment on large datasets, you will have strong analytical and critical thinking skills, along with strong Microsoft Excel skills and a naturally inquisitive approach to problem-solving. You will have proven experience of data entry into IT systems using a variety of computer databases, an eye for detail and a thorough understanding of data analysis and data modelling.
In return, you can expect 27 days holiday, a non-contributory pension, excellent benefits and a flexi scheme. You’ll also be working out of purpose-built offices that form part of the award-winning Hale Village regeneration project, and are situated just two minutes’ walk from the major transport interchange at Tottenham Hale.
For further information and details of how to apply, please visit our website:
www.newlon.org.uk/vacancies
Closing date: 23:59 on Tuesday 4 August 2026
Interviews will be held in person at our offices in Hale Village on Monday 17 August 2026
Newlon Housing Trust is a charitable housing association and a committed Equal Opportunities employer. Applicants must be eligible to work in the UK.
No agencies please.
20/07/2026
Full time
Newlon Housing Trust is a successful charitable housing association and one of the major providers of new affordable housing in north and east London.
We have an opportunity for an experienced data analyst to work with Newlon’s Business Intelligence Lead ensuring that all data is accurate, reliable and trusted enabling the delivery of quality reports.
To include:
Business intelligence – gathering data and ensuring data quality to provide residents, colleagues and decision makers with accurate information.
Reporting – creating engaging and informative reports and present findings to decision makers to support the delivery of excellent services, the maintenance of high-quality homes and the ability to make efficient and effective decisions.
Benchmarking – comparing Newlon’s performance with other organisations to demonstrate areas of good practice and identify opportunities for improvement.
Insight – applying your critical thinking and communication skills to interpret data, identify trends and anomalies, and provide high-quality analysis.
You will work in partnership with the IT and service teams and provide ongoing assurance to managers and senior leaders with regards to data quality and improvement.
With proven experience of working in a data driven environment on large datasets, you will have strong analytical and critical thinking skills, along with strong Microsoft Excel skills and a naturally inquisitive approach to problem-solving. You will have proven experience of data entry into IT systems using a variety of computer databases, an eye for detail and a thorough understanding of data analysis and data modelling.
In return, you can expect 27 days holiday, a non-contributory pension, excellent benefits and a flexi scheme. You’ll also be working out of purpose-built offices that form part of the award-winning Hale Village regeneration project, and are situated just two minutes’ walk from the major transport interchange at Tottenham Hale.
For further information and details of how to apply, please visit our website:
www.newlon.org.uk/vacancies
Closing date: 23:59 on Tuesday 4 August 2026
Interviews will be held in person at our offices in Hale Village on Monday 17 August 2026
Newlon Housing Trust is a charitable housing association and a committed Equal Opportunities employer. Applicants must be eligible to work in the UK.
No agencies please.
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
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
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
28/07/2026
Full time
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
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
