Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes.
Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions.
Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency.
Impact Measurement: Develop and implement robust measurement frameworks, including test-and-learn approaches, to evaluate the success of business changes and ensure decisions are evidence-based and continuously refined.
Championing a Data-Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight-led decision-making across Content, Product, CRM, and Commercial teams.
Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high-value insight generation rather than manual data preparation.

Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets
Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy)
Ability to understand new datasets quickly and extract meaningful insights.
Experience working with large, complex datasets across multiple sources.
Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting.
Hands-on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel).
Ability to work independently, defining topics for analysis and driving them to completion.
Strong communication skills, with the confidence to present findings and challenge assumptions.

Desirable

Background in Mathematics, Statistics, Data Science, or a related quantitative discipline.
An interest in sport, betting markets, or data-driven digital products.

We offer a range of well-being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings.
We also provide a pension scheme and various other benefit schemes.
Plus, we all get our birthdays off work and enjoy 25 days of holiday per year.
We’ve also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication.
For those working via the hybrid model (in the office and at home) we’ve made commuting easier with our Season Ticket Loan and Cycle to Work Scheme.
You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership.
We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner.

Data Analyst

Key skills