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Portfolio Analytics Manager

Job in Watford, Hertfordshire, NN6, England, UK
Listing for: Allwyn UK
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below

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, large scale 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 s 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,…
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