Data Analayst (Mid-Senior)

Joining our client, a leading online gambling platform focused on online poker, you will join the London team as a Data Analyst (Mid-Senior). In this hybrid role, you turn large datasets into clear, actionable insights across marketing, player lifecycle, and commercial performance. You will work closely with marketing, CRM, and leadership to improve acquisition, retention, and overall value, while upholding responsible gambling standards.

This role is based in London with hybrid working arrangements. This role does not support relocation.

• Responsibilities
• Performance & Player Analytics: analyse funnel stages—acquisition, activation, retention, reactivation; deliver insights on FTD, conversion, retention, churn, ARPU, LTV, NGR, and bonus cost; monitor commercial performance by product, market, channel, and cohort.
• Marketing & CRM Analytics: report on paid media performance and campaigns (CPA, ROAS, payback windows, cohort profitability); support CRM with segmentation and lifecycle optimisation; partner with marketing to improve targeting and reduce bonus abuse; analyse full channel set for campaigns.
• Reporting & Dashboarding: build and maintain dashboards for stakeholders; improve data quality and reporting consistency; own recurring reporting cycles and create automated self-serve reporting where possible.
• Business Partnering: translate data into clear recommendations for non-technical stakeholders; support business cases for initiatives, sponsorships, promotions, and product changes; help define KPIs and measurement frameworks.
• Data & Process Improvement: collaborate with UK marketing, BI, and martech teams; identify tracking gaps and propose solutions; ensure analytics align with compliance and responsible gambling standards.
• Requirements
• 3–7+ years of experience in a Data Analyst, BI Analyst, or Commercial Analyst role.
• Gambling sector experience is essential (online casino, sportsbook, poker, bingo, or lotteries).
• Strong SQL skills (complex queries, joins, window functions, cohort analysis).
• Experience analysing player-level data and commercial KPIs.
• Strong dashboarding skills (Looker, Tableau, Power BI, or similar).
• Confident presenting insights to senior stakeholders.
• Desirable: attribution, MMM, incrementality testing, or marketing mix analysis.
• Desirable: knowledge of bonus mechanics, risk/fraud signals, and promo optimisation; experience with tools like BigQuery, Snowflake, Redshift, dbt; familiarity with GA4, AppsFlyer, Adjust, or other tracking platforms.

If you enjoy turning data into strategy and want to shape the future of online poker analytics, you will thrive here. You will join a growing team with global reach, work across brands, and gain opportunities for professional development within a supportive, inclusive culture. Hybrid London work, local candidate focus, and no relocation support are part of the arrangement.