Portfolio Analytics Manager

Portfolio Analytics Manager

Full-Time 56700 - 69300 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and delivery of analytical data products to drive strategic decisions.
  • Company: Join Allwyn UK, a leading lottery operator committed to positive change.
  • Benefits: Enjoy competitive salary, generous leave, wellness support, and flexible benefits.
  • Other info: Be part of a diverse team dedicated to innovation and sustainability.
  • Why this job: Make a real impact by shaping customer-centric decisions with data insights.
  • Qualifications: Experience in analytics, stakeholder engagement, and strong technical skills in Python, SQL, and Power BI.

The predicted salary is between 56700 - 69300 £ per year.

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.

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.

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.
  • 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 products 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.
  • Ways of working capability; improved analytics capability across the S CI team and stakeholders.
  • Reporting effectiveness; core dashboards are adopted and used routinely, with improved timeliness and reduced manual effort through automation.

At Allwyn, we are dedicated to changing lives and growing the National Lottery responsibly, championing its positive impact on people, places, and the planet. Our aim is to have doubled the number generated for charities and good causes in the UK by the end of the first 10-year license. We have 2030 targets to decarbonise our operations and energy. We’ve already transitioned to renewable energy providers, made our London and Watford offices zero gas, and ensured our fleet consists of low-emission vehicles.

We are a Disability Confident Leader which means we’ve taken proactive steps to ensure our workplace is accessible and inclusive for disabled and neurodivergent colleagues and candidates. If you need any assistance or adjustments to this job description or in the application process, please contact a member of the talent team at careers@allwyn.co.uk and we’ll be happy to help.

Portfolio Analytics Manager employer: Allwyn UK

At Allwyn UK, we are committed to fostering a dynamic and inclusive work environment where innovation thrives and every voice is heard. As a Security Tester, you will not only contribute to the vital mission of enhancing security across our platforms but also enjoy a comprehensive benefits package, including generous leave, wellness support, and opportunities for professional growth. Join us in making a meaningful impact while being part of a team that values collaboration and champions positive change in society.

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Contact Details:

Allwyn UK Recruitment Team

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We think you need these skills to ace Portfolio Analytics Manager

Analytical Skills
Stakeholder Engagement
Product Ownership
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SQL
Power BI
Python

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