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 pay, 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, strong skills in Python, SQL, and stakeholder engagement.
The predicted salary is between 60000 - 80000 £ per year.
Description
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…
A bit 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 zero national lottery.
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.
In addition, we’re working with our value chain partners to develop a net zero target date.
- Empowering every voice – We believe in creating a culture where everyone feels they belong, can be themselves, has access to opportunities and can thrive for the benefit of good causes.
Our diverse teams are working hard to make all parts of The National Lottery inclusive – whether people play a game in a store or online, because when everyone can play, everyone wins..
An inclusive reward offering with wellbeing at the centre
At Allwyn, inclusion is built into how we care for our people.
Our benefits and policies support colleagues and their families at every stage of life and career.
By prioritising wellbeing and belonging, we create a workplace where everyone feels valued, rewarded, and empowered to succeed.
Our people are more than colleagues - they’re winners, driving positive change and making a real difference in communities.
Benefits
- Company Bonus Scheme
- Matched pension contributions up to 8.5%
- 26 days annual leave + 2 Life Days (and bank holidays)
- Single Private Health Cover
- Complimentary Private Medical
- Income Protection
- Flexible Benefits – EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes.
- Enhanced Family Leave (Maternity, Paternity, Adoption)
- Wellness Allowance £500
- Employee Assistance Programme
- Discounted Health Assessments
- Volunteering Days
- Matched Funding
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.
As part of this we offer an interview to disabled applicants who meet the essential requirements of the job.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Analytics Manager in Watford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allwyn UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Portfolio Analytics Manager at Allwyn UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Allwyn UK.
✨Apply Directly through Our Website
When you find a suitable opening like Portfolio Analytics Manager at Allwyn UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Portfolio Analytics Manager in Watford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Allwyn UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allwyn UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Allwyn UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allwyn UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.