Portfolio Analytics Manager

At the heart of everything we do is our vision to change lives every day, and our mission to grow The National Lottery responsibly and champion its impact.

Join our journey to create a new experience for The National Lottery and help us to power change for the greater good.

We are Allwyn UK, part of the Allwyn Entertainment Group – a multi‑national lottery operator with a market‑leading presence across Europe which includes: Czech Republic, Austria, Greece, Cyprus & Italy.

While the main contribution of The National Lottery to society is through the funds to good causes, at Allwyn we put our purpose and values at the heart of everything we do. Join us as we embark on a once‑in‑a‑lifetime, largescale transformation journey by creating a National Lottery that delivers more money to good causes.

We’ll talk a bit more about us further down the page, but for now – let’s talk about the role and who we’re looking for…

About the role

This role sits within the Strategy and Transformation function, and plays a pivotal role in shaping and delivering insight‑led data products that drive strategic and operational decisions across Allwyn UK. This is a hands‑on role that blends technical delivery with stakeholder engagement, product ownership, and thought leadership.

A key objective of the role is to help establish a more customer‑centric decision‑making culture at Allwyn. This includes developing analytical products that improve understanding of customer behaviour, value and engagement, enabling the business to make better decisions across acquisition, retention, proposition development and customer experience.

You will work closely with senior stakeholders across Commercial, marketing, Digital and Retail to understand business needs, translate them into analytical solutions, and deliver high‑impact insights. You’ll lead the development of scalable data products, mentor junior analysts, and champion the use of data across the organisation.

What you’ll be doing

• Lead the design, development, and delivery of analytical data products that support insight‑led business decisions. Examples may include customer value models, propensity models, performance measurement frameworks, forecasting solutions and self‑service insight products.
• Partner with Consumer Insights colleagues to combine behavioural, transactional and attitudinal research data into a single, holistic view of customers.
• Act as a trusted partner to stakeholders, proactively engaging to understand their challenges and co‑create analytical solutions.
• Own the end‑to‑end lifecycle of data products—from discovery and prototyping to deployment and stakeholder enablement.
• Support ad hoc business reviews focused on key business questions and areas of opportunity, providing rigorous and timely analysis to help drive progress.
• Deliver hands‑on analysis using SQL, Power BI, and Python/R, ensuring outputs are robust, scalable, and actionable.
• Translate complex data into clear, compelling narratives tailored to different audiences, including senior leadership.
• Collaborate with data engineering and product teams to ensure data infrastructure supports analytical needs.
• Provide thought leadership on how data, combined with research techniques, can be used to drive value, influence strategy, and improve customer outcomes.
• Mentor junior analysts, fostering a culture of curiosity, technical excellence, and continuous improvement.
• Promote best practices in analytics, data storytelling, and stakeholder engagement across the team.
• Stay abreast of industry trends, tools, and methodologies to continuously evolve the team’s capabilities.

What experience we’re looking for

• Experience as a critical thought partner in defining analytical solutions, challenging assumptions constructively.
• Experience applying customer analytics techniques such as customer lifetime value modelling, segmentation, cohort analysis, propensity modelling or retention analysis.
• Proven experience in stakeholder‑facing analytics roles, with a track record of influencing decisions through data.
• Strong hands‑on skills in Python or R, SQL, Power BI (including DAX and Power Query).
• Proven experience in using a variety of analytical techniques, matching the appropriate technique to the business problem.
• Experience designing and delivering scalable data products or insight frameworks.
• Comfortable managing multiple stakeholders and balancing competing priorities.
• Strong understanding of data modelling, ETL processes, and collaboration with data engineering teams.
• Experience collaborating with Consumer Research and Digital analytics teams and data.
• Demonstrated ability to lead analytical initiatives from concept to delivery.
• Experience mentoring or coaching junior analysts.
• Familiarity with agile ways of working and tools such as Jira and Confluence.

Technical

• Analytics programming (Python and/or R); experience of Python or R for advanced analytics techniques, in addition to repeatable analysis, automation, and statistical evaluation. Ability to build automated data product rather than one off analyses.
• SQL (advanced); confident querying large, complex datasets in an enterprise data warehouse environment. Ability to write performant, readable SQL for joins, aggregations, window functions, and data validation. Experience reconciling multiple data sources and identifying data quality issues.
• Business intelligence & visualisation (Power BI); experience maintaining and building self‑serve Power BI dashboards and reports, optimising report performance and ensuring consistency of metrics across dashboards.
• Data quality, validation, and integrity; hands on experience designing and running data QA checks (completeness, accuracy, consistency), with clear documentation of assumptions, limitations, and methodology. Experience peer reviewing analysis and establishing sign off processes for high impact outputs.

Key Measures of Success

• Business impact; outputs directly inform business decisions. Increased ability to answer priority business questions faster, with stronger evidence from blended internal and third‑party sources.
• Insight accuracy & integrity; stakeholders report confidence in insight outputs because recommendations are understood and trusted. Meaning, measures are consistent, validated, and clearly explained, with limited data issues due to effective QA, peer review, and documented remediation.
• Ways of working & capability; improved analytics capability across the S&CI team and stakeholders (better briefs, clearer measures, stronger self‑serve behaviour where appropriate), with productive collaboration with other analysts across the business.
• Reporting effectiveness; core dashboards are adopted and used routinely, with improved timeliness and reduced manual effort through automation, with reporting products remaining stable and performant.

About us

At Allwyn, we are dedicated to changing lives and growing the National Lottery responsibly, championing its positive impact on people, places, and the planet.

• Innovation - We pride ourselves on it! We’re constantly looking for new ways to excite our customers, bringing new products to market to enjoy which is all supported by our responsible play values and making them accessible to all.
• Giving back – Did you know that playing the lottery generates around £30m a week for charities and good causes in the UK? Our aim is to have doubled this number by the end of the first 10‑year license.
• Sustainability – Our aim is to become a net zer