AWTG Ltd.

Role overview The Performance Analyst will help AWTG and its clients understand how digital products, services and operational processes are performing. The role focuses on defining useful measures, analysing trends, producing clear reports and turning insight into practical recommendations for improvement. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Work with delivery, product and client teams to define KPIs, success measures, reporting needs and performance baselines. Collect, clean and analyse data from digital analytics, operational systems, service data and stakeholder inputs. Create regular reports, dashboards and visualisations that explain performance clearly to technical and non-technical audiences. Identify service trends, risks, bottlenecks and opportunities for improvement across products or projects. Support teams in interpreting evidence and making data-informed decisions during delivery and continuous improvement. Maintain quality assurance checks so that analysis is accurate, repeatable and fit for purpose. Essential skills and experience Experience using analytical tools, spreadsheets, dashboards or data visualisation platforms. Ability to turn business goals and user needs into measurable indicators. Good understanding of data quality, validation and basic statistical or analytical techniques. Clear communication skills, including the ability to present findings in a simple and actionable way. Awareness of data privacy, security and ethical constraints when working with service data. Ability to work independently while knowing when to seek guidance from senior colleagues. Desirable skills and experience Experience with GA4, Power BI, Looker Studio, SQL or similar reporting tools. Experience working in Agile delivery teams or digital service environments. Understanding of user centred service performance and benefits tracking. What success looks like Performance measures are clearly defined and understood by stakeholders. Reports are accurate, timely and support practical decision-making. Insights help teams improve user outcomes, operational efficiency and service quality.

Role overview The Performance Analyst will help AWTG and its clients understand how digital products, services and operational processes are performing. The role focuses on defining useful measures, analysing trends, producing clear reports and turning insight into practical recommendations for improvement. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Work with delivery, product and client teams to define KPIs, success measures, reporting needs and performance baselines. Collect, clean and analyse data from digital analytics, operational systems, service data and stakeholder inputs. Create regular reports, dashboards and visualisations that explain performance clearly to technical and non-technical audiences. Identify service trends, risks, bottlenecks and opportunities for improvement across products or projects. Support teams in interpreting evidence and making data-informed decisions during delivery and continuous improvement. Maintain quality assurance checks so that analysis is accurate, repeatable and fit for purpose. Essential skills and experience Experience using analytical tools, spreadsheets, dashboards or data visualisation platforms. Ability to turn business goals and user needs into measurable indicators. Good understanding of data quality, validation and basic statistical or analytical techniques. Clear communication skills, including the ability to present findings in a simple and actionable way. Awareness of data privacy, security and ethical constraints when working with service data. Ability to work independently while knowing when to seek guidance from senior colleagues. Desirable skills and experience Experience with GA4, Power BI, Looker Studio, SQL or similar reporting tools. Experience working in Agile delivery teams or digital service environments. Understanding of user centred service performance and benefits tracking. What success looks like Performance measures are clearly defined and understood by stakeholders. Reports are accurate, timely and support practical decision-making. Insights help teams improve user outcomes, operational efficiency and service quality.

Role overview The Data Analyst will prepare, analyse and communicate data to help AWTG and its clients make better decisions. The role involves working with data sources, producing reports and visualisations, and translating data into clear insight for delivery teams and stakeholders. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Collect, prepare, clean and manage data from a range of systems and sources. Analyse data using appropriate tools, techniques and quality assurance standards. Build reports, dashboards and visualisations that tell a focused and accessible story. Work with stakeholders to understand business questions and identify the data needed to answer them. Document analytical approaches, assumptions and limitations so outputs are repeatable and trusted. Support data governance, privacy and ethical handling of data in line with project requirements. Essential skills and experience Experience preparing, analysing and presenting data for business or operational decision-making. Good working knowledge of Excel, SQL, BI tools or equivalent analytical platforms. Ability to identify data quality issues and prepare data so it is fit for purpose. Ability to communicate technical findings in plain language to non-technical stakeholders. Understanding of basic statistical or analytical techniques and quality assurance practices. Awareness of data protection, privacy and secure handling of sensitive information. Desirable skills and experience Experience with Power BI, Tableau, Looker Studio, Python or R. Experience in digital products, public sector services or consultancy environments. Knowledge of Agile delivery, Jira/Confluence or multidisciplinary working. What success looks like Analysis is accurate, timely and clearly aligned to stakeholder questions. Dashboards and reports are understandable, useful and accessible. Data quality issues are identified early and handled transparently.

Role overview The Senior Delivery Manager will be accountable for the effective delivery of complex or high risk products and services at AWTG. The role provides delivery leadership, manages senior stakeholder communication, resolves delivery risks and supports delivery managers and teams to deliver valuable outcomes. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Lead the delivery of complex digital, data or technology products and services through the full product or service life cycle. Establish effective delivery cadence, planning, reporting and governance practices that help teams deliver at a sustainable pace. Manage delivery risks, issues and dependencies, including those owned outside the immediate delivery team. Engage senior stakeholders and communicate delivery confidence, blockers, options and recommendations in a clear and timely way. Coach and mentor delivery managers and delivery teams, improving team dynamics and delivery effectiveness. Work with supplier, commercial and finance stakeholders to manage contracted relationships, budgets and value for money. Contribute to business cases, delivery plans and continuous improvement activities where required. Essential skills and experience Proven experience delivering complex or high risk technology products and services in Agile or Lean environments. Strong knowledge of Agile and Lean practices, delivery process improvement and life cycle management. Excellent stakeholder management skills, including the ability to communicate between technical and non technical audiences. Experience managing supplier relationships, budgets, commercial considerations and business value. Ability to identify, prioritise and resolve complex delivery risks, issues and dependencies. Experience coaching delivery teams or delivery managers and improving team ways of working. Desirable skills and experience Experience operating at programme level or managing dependencies across multiple teams. Experience delivering work in public sector, regulated, client facing or high assurance environments. Experience working with multidisciplinary teams across software engineering, cloud, AI, data, product and QA. What success looks like Delivery teams maintain momentum, focus and confidence while working through complex delivery challenges. Senior stakeholders understand delivery status, key risks and decisions required to protect outcomes. Risks, dependencies, supplier issues and budget considerations are managed proactively and transparently.

AWTG Ltd. is seeking a Programme Delivery Manager in West Midlands, England, to deliver complex digital, data, and technology products and services. You will oversee multiple teams, manage dependencies and risks, and coach delivery managers while promoting Agile practices. The ideal candidate has significant experience in managing technology programmes, strong financial management skills, and the ability to effectively communicate with stakeholders. This role offers a dynamic work environment focusing on successful programme delivery.

AWTG Ltd. is seeking a Programme Delivery Manager in West Midlands, England, to deliver complex digital, data, and technology products and services. You will oversee multiple teams, manage dependencies and risks, and coach delivery managers while promoting Agile practices. The ideal candidate has significant experience in managing technology programmes, strong financial management skills, and the ability to effectively communicate with stakeholders. This role offers a dynamic work environment focusing on successful programme delivery.

AWTG Ltd. is seeking a Senior Data Analyst to lead data analysis initiatives, ensuring effective data management and insightful storytelling for decision-making. The role emphasizes using statistical and analytical techniques to drive business insights and facilitating communication with stakeholders. The ideal candidate will have strong skills in data analysis, SQL, and BI tools like Power BI or Tableau. Integration into multidisciplinary teams is essential for delivering client-focused outcomes.

Role overview The Senior Data Analyst will lead analysis within a product, project or business area, ensuring data is prepared, managed, interpreted and communicated effectively. The role supports decision-making through robust analysis, stakeholder engagement and clear visual storytelling. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the development of valuable statistical insights, analytical reports, dashboards and data products. Identify, prepare and link data from relevant sources, ensuring it is fit for purpose and reusable where possible. Apply appropriate analytical and statistical techniques, and support others in using them effectively. Quality assure analytical outputs, data models and reporting logic across the team. Communicate insight to technical and non-technical stakeholders, adapting the message to their needs. Support data governance, privacy and ethical considerations within the project or service area. Essential skills and experience Strong data analysis experience, including data preparation, modelling, visualisation and reporting. Working knowledge of SQL and at least one BI or visualisation platform such as Power BI, Tableau or Looker. Ability to apply statistical and analytical techniques to answer business or user questions. Experience quality assuring analytical work and explaining limitations or assumptions. Strong communication skills with the ability to manage stakeholder expectations. Awareness of data governance, data ethics, privacy and secure handling of data. Desirable skills and experience Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows. Experience leading small analytical workstreams or mentoring junior analysts. Experience working in Agile product, digital transformation or client delivery teams. What success looks like Data is prepared, managed and used effectively to answer priority questions. Stakeholders understand the story behind the data and use it to make decisions. Analytical outputs are reliable, accessible and aligned to business goals.

Role overview The Senior Business Analyst will lead analysis on large or complex projects, ensuring business and user needs are understood, prioritised and translated into actionable requirements. The role supports effective delivery by connecting stakeholders, users, technology and process change. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead discovery and analysis activities to understand business problems, user needs and root causes. Define, validate and manage requirements, user stories, acceptance criteria and non-functional requirements. Create business models, process maps, system analysis outputs and change impact assessments. Facilitate workshops, manage stakeholder relationships and resolve conflicts between competing needs. Work with product, UX, architecture, development, QA and delivery teams to ensure solutions meet agreed needs. Support testing activities by ensuring business scenarios and acceptance criteria are clear and traceable. Essential skills and experience Strong business analysis experience within digital, software or business transformation projects. Ability to lead complex requirements elicitation, validation, prioritisation and traceability. Experience using business modelling, process improvement and option analysis techniques. Strong facilitation and stakeholder management skills, including difficult discussions and prioritisation decisions. Good understanding of Agile delivery and how business analysis supports iterative delivery. Ability to assess system, data and process impacts and communicate them clearly. Desirable skills and experience Experience mentoring junior business analysts or managing BA workstreams. Experience with Jira, Confluence, Miro, BPMN, UML, service blueprints or journey maps. Experience supporting public-sector, regulated or client-facing projects. What success looks like Requirements are clear, prioritised, traceable and ready for delivery. Stakeholders understand decisions, trade-offs and expected benefits. Business analysis outputs reduce ambiguity and improve delivery quality.

AWTG Ltd. is looking for a Senior Data Scientist in Greater London to lead the development of advanced analytical and machine learning solutions. The ideal candidate will have strong experience in delivering data science solutions, particularly in Python and R, and will guide teams on data preparation and model selection. Responsibilities include designing, validating, and deploying data science models while ensuring ethical and useful outputs for clients. The role also requires strong communication skills and a good understanding of data engineering, privacy, and AI governance.

AWTG Ltd. in the West Midlands is seeking a Data Scientist to apply data science, statistics, and machine learning techniques. The role involves exploring data, building models, and collaborating with teams across data, AI, software engineering, and product. Ideal candidates will possess strong programming skills in Python or R, understanding of machine learning methods, and the ability to communicate findings clearly. This is a fantastic opportunity for individuals passionate about using data to drive business and user outcomes.

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools. Influence stakeholders by communicating technical options, risks, benefits and evidence-based recommendations. Support capability building, mentoring and continuous improvement of the data science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering, cloud, architecture and software teams to deliver supported solutions. Strong stakeholder communication skills, including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector, regulated or high-complexity client environments. What success looks like Complex data science work is delivered with clear standards and measurable business impact. Technical choices are well governed, scalable and aligned to delivery realities. Data science capability grows through mentoring, reusable patterns and shared practice.

Role overview The Senior Performance Analyst will lead the day-to-day performance analysis for projects and services, helping teams understand what is working, what needs to improve and how success should be measured. The role requires strong analytical judgement, clear communication and the ability to guide others. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Design and maintain performance measurement frameworks, including KPIs, goals, user needs and benefits measures. Carry out complex analysis using multiple data sources and translate findings into clear recommendations. Develop dashboards, reports and visual stories that communicate service performance to different audiences. Lead quality assurance of performance data, including cleansing, validation and explanation of limitations. Work closely with product, delivery, user research, data and client teams throughout the product life cycle. Support, delegate to and upskill other analysts where appropriate. Essential skills and experience Strong experience in digital or service performance analysis, including KPI design and reporting. Proficiency in analytical tools and the ability to apply a range of techniques to service data. Ability to communicate complex data as compelling, accessible and actionable insight. Understanding of product or service life cycles and how measures change across discovery, delivery and live service. Experience integrating quantitative data with user research, surveys or other qualitative evidence. Good knowledge of data privacy, security and analytical quality assurance. Desirable skills and experience Experience with Power BI, GA4, SQL, Python, R or similar analytics tools. Experience mentoring junior analysts or improving analytical processes. Experience in Agile, public-sector or user-centred digital delivery. What success looks like Complex analysis is converted into practical recommendations. Teams have reliable measures for progress, value and user outcomes. Analytical processes are repeatable, assured and continuously improved.

Role overview The Lead Business Analyst will operate across complex problem spaces, spanning multiple products, services or client programmes. The role sets direction for business analysis, owns key stakeholder relationships and ensures proposed solutions align with business, user and strategic needs.You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead business analysis across complex programmes, setting standards for discovery, requirements and analysis outputs. Own senior stakeholder relationships and support teams in managing competing priorities and expectations. Guide problem, context and option analysis to ensure recommendations are evidence-based and strategically aligned. Set standards for requirements, user stories, acceptance criteria, business models and traceability. Work with technical, product, UX and delivery specialists to analyse systems, data, processes and operating models. Coach business analysts and contribute to the development of the business analysis community. Essential skills and experience Extensive business analysis experience across complex digital products, services or transformation programmes. Strong knowledge of Agile, Scrum, Kanban and other delivery approaches, with the ability to tailor methods to context. Expert stakeholder management, negotiation and facilitation skills with senior audiences. Ability to define and manage complex business and user needs, requirements and traceability standards. Experience leading business process improvement, option analysis and change impact assessment. Ability to coach others and set consistent business analysis standards across teams. Desirable skills and experience Experience with enterprise or business architecture, operating models or capability mapping. Experience in consulting, public sector, regulated or multi supplier delivery environments. Experience using Jira, Confluence, Miro, BPMN, UML or similar analysis tools. What success looks like Complex needs are translated into clear, prioritised and traceable delivery outcomes. Stakeholders are aligned around evidence based recommendations and delivery priorities. Business analysis standards are consistent and adopted across teams.

Role overview The Programme Delivery Manager will be accountable for the delivery of complex digital, data and technology products and services at AWTG. The role focuses on managing programmes delivered by multiple teams, balancing delivery priorities, removing blockers and ensuring that high-risk work is planned, governed and communicated effectively. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Oversee complex programmes made up of multiple products, services or workstreams, coordinating delivery across multidisciplinary teams. Manage dependencies, risks, blockers, commercial constraints, budgets and people or resource priorities across the programme. Maintain delivery momentum by planning beyond individual product delivery, identifying cross-team dependencies and ensuring teams have confidence in delivery plans. Act as the initial escalation point for programme delivery issues, including high-risk stakeholder, commercial and delivery challenges. Balance competing objectives and support the redeployment of people and resources as priorities change. Support programme leadership by translating programme vision into workable delivery plans, governance, reporting and measurable outcomes. Coach delivery managers and promote effective Agile, Lean and continuous improvement practices across teams. Essential skills and experience Significant experience managing complex digital, data or technology programmes involving multiple teams or workstreams. Expert understanding of Agile and Lean practices, with the ability to tailor delivery approaches through the product or service life cycle. Strong commercial and financial management experience, including budgets, supplier relationships, contracts and value for money. Ability to communicate complex or high-risk topics clearly to senior technical and non-technical stakeholders. Proven ability to manage risks, dependencies and blockers while maintaining delivery momentum in complex environments. Experience coaching delivery managers and improving delivery processes across teams or departments. Desirable skills and experience Experience delivering programmes for public-sector, regulated or high-assurance clients. Experience leading programmes that include cloud platforms, data products, AI solutions or software engineering delivery. Experience establishing programme governance, delivery assurance, reporting frameworks and escalation routes. What success looks like Complex programmes are delivered in a controlled, transparent and outcome-focused way. Risks, dependencies, commercial issues and blockers are visible, managed early and escalated appropriately. Delivery teams have clear priorities, sustainable ways of working and confidence in the programme plan.

Role overview The Programme Delivery Manager will be accountable for the delivery of complex digital, data and technology products and services at AWTG. The role focuses on managing programmes delivered by multiple teams, balancing delivery priorities, removing blockers and ensuring that high-risk work is planned, governed and communicated effectively. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Oversee complex programmes made up of multiple products, services or workstreams, coordinating delivery across multidisciplinary teams. Manage dependencies, risks, blockers, commercial constraints, budgets and people or resource priorities across the programme. Maintain delivery momentum by planning beyond individual product delivery, identifying cross-team dependencies and ensuring teams have confidence in delivery plans. Act as the initial escalation point for programme delivery issues, including high-risk stakeholder, commercial and delivery challenges. Balance competing objectives and support the redeployment of people and resources as priorities change. Support programme leadership by translating programme vision into workable delivery plans, governance, reporting and measurable outcomes. Coach delivery managers and promote effective Agile, Lean and continuous improvement practices across teams. Essential skills and experience Significant experience managing complex digital, data or technology programmes involving multiple teams or workstreams. Expert understanding of Agile and Lean practices, with the ability to tailor delivery approaches through the product or service life cycle. Strong commercial and financial management experience, including budgets, supplier relationships, contracts and value for money. Ability to communicate complex or high-risk topics clearly to senior technical and non-technical stakeholders. Proven ability to manage risks, dependencies and blockers while maintaining delivery momentum in complex environments. Experience coaching delivery managers and improving delivery processes across teams or departments. Desirable skills and experience Experience delivering programmes for public-sector, regulated or high-assurance clients. Experience leading programmes that include cloud platforms, data products, AI solutions or software engineering delivery. Experience establishing programme governance, delivery assurance, reporting frameworks and escalation routes. What success looks like Complex programmes are delivered in a controlled, transparent and outcome-focused way. Risks, dependencies, commercial issues and blockers are visible, managed early and escalated appropriately. Delivery teams have clear priorities, sustainable ways of working and confidence in the programme plan.

Role overview The Data Scientist will use data science, statistics and machine learning techniques to generate insight and develop practical solutions for AWTG and its clients. The role works with multidisciplinary teams to explore data, build models and communicate findings clearly. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Explore, prepare, analyse and visualise data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data science solutions. Document methods, assumptions, limitations and validation results clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science or statistical methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical testing, model validation and performance metrics. Ability to prepare, clean and transform data for analysis and modelling. Ability to communicate technical findings and visualisations to non-technical audiences. Awareness of data ethics, privacy, bias, model limitations and responsible use of data. Desirable skills and experience Experience with NLP, time series, optimisation, predictive analytics or simulation. Experience with cloud data platforms, notebooks, Git, APIs or data pipelines. Experience delivering data science outputs within Agile or multidisciplinary teams. What success looks like Data science outputs are valid, explainable and aligned to business needs. Models and analysis are documented, tested and communicated clearly. Insights help teams improve services, operations or decision-making.

Role overview The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams to make data science outputs scalable, maintainable and usable. Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams. Promote responsible AI, data ethics, privacy and model governance within projects. Essential skills and experience Strong experience delivering data science solutions in production-oriented or client delivery environments. Strong Python/R skills and practical knowledge of machine learning libraries and analytical tooling. Experience with model validation, performance assessment, reproducible coding and testing approaches. Ability to scope data science opportunities and translate them into achievable delivery plans. Strong communication skills, including explaining model outputs, assumptions and trade-offs. Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working in consultancy, public sector, regulated or enterprise delivery. What success looks like Data science solutions are technically sound, useful and ready for operational use. Model risks, assumptions and limitations are transparent and well managed. Teams are supported to apply data science methods responsibly and effectively.

Role overview The Principal Data Analyst will lead significant areas of data analysis across AWTG and client programmes. The role sets standards for data analysis, governance, data quality and visualisation, while influencing strategic decisions through trusted evidence and insight. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead data analysis across major products, programmes or client portfolios, ensuring work aligns with organisational priorities. Set standards for analytical methods, data quality, documentation, reproducibility and quality assurance. Oversee the design and delivery of scalable data products, dashboards, reports and insight packs. Influence senior stakeholders by translating data into strategic recommendations and business impact. Champion data management, data governance, privacy and ethical use of data across teams. Mentor analysts and develop capability, standards and good practice within the data community. Essential skills and experience Extensive experience leading data analysis in complex digital, operational or transformation environments. Expert understanding of statistical and analytical techniques, data management and visualisation standards. Ability to oversee the quality assurance of analytical outputs across teams and projects. Strong stakeholder management and communication skills at senior and executive levels. Experience defining data models, quality standards and reusable analytical approaches. Ability to lead, mentor and grow data analysis capability across a multidisciplinary organisation. Desirable skills and experience Experience with BI platforms, SQL, Python/R, cloud data platforms and modern analytics engineering practices. Experience contributing to data strategy, data governance frameworks or enterprise reporting standards. Experience in consulting, public sector, regulated or client facing delivery. What success looks like Data analysis standards are clear, adopted and continuously improved. Senior decisions are informed by reliable, well governed data and insight. Teams deliver scalable data products that create measurable business value.