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Overview
Entain is seeking a Senior Analyst to enhance Performance Marketing Analytics, focusing on Affiliate Marketing. This role involves data analysis, reporting, and stakeholder management to optimize affiliate performance across global brands. We're Entain. Powered by our very own technology and building products that push boundaries, Entain is home to a global family. This family consists of more than 30 well-known brands and over 29,000 people. Despite our size, we all play for the same team. When we win, we win together. Our vision is to be the world number one in betting, gaming and interactive entertainment by bringing moments of excitement into people's lives. We will achieve this through our focus on sustainability and growth, driving change in the fast-paced world of entertainment.
Key Responsibilities
- •Affiliate Analytics
Analyse affiliate performance across multiple global brands, markets, and products to identify trends, risks, and growth opportunities. Deliver day-to-day analytical support, providing actionable insights to optimise affiliate performance and support commercial decision-making. Monitor and evaluate key performance indicators including revenue, CPA, ROI and player value. Produce ad hoc analyses and deep dives to identify opportunities, investigate performance changes, and support strategic initiatives.
- •Dashboarding and Reporting
Own, maintain, and continuously improve affiliate dashboards and reporting suites across PowerBI and Sigma, ensuring accurate, timely, and reliable performance reporting. Develop automated reporting solutions that improve efficiency, scalability, and consistency across global affiliate reporting. Produce regular performance reports and executive summaries for stakeholders, highlighting key trends, insights, and recommendations. Ensure reporting frameworks remain fit for purpose by reviewing metrics, introducing new visualisations, and driving best practice.
- •Data Manipulation and Coding
Extract, manipulate, and analyse large datasets using SQL and other analytical tools to generate business insights. Develop and maintain robust data models to support affiliate reporting and performance analysis. Validate data quality by identifying and resolving discrepancies across multiple data sources. Utilise BI and analytical tools (e.g. Power BI, Sigma) to automate reporting and enhance analytical capabilities.
- •Stakeholder Management
Partner with Affiliate, Marketing, Commercial, Finance, and Data teams to understand business requirements and deliver analytical solutions. Translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders. Build strong relationships with key stakeholders, acting as the primary point of contact for affiliate reporting and performance analysis. Support business planning, forecasting, and performance reviews by providing timely analysis and data-driven recommendations.
Additional Information
- •Competitive salary is just the beginning.
- •Generous group bonus scheme.
- •Hybrid working - 3 days in office.
- •Private medical insurance.
- •Pension scheme – matched to 6%.
- •Ability to buy and sell holiday.
- •Free subscription to wellbeing app Unmind.
- •Additional "It's Your Game" day off to use at either Christmas or New Year.
- •Entain & Enhance days – 2 paid days off to focus on your professional or personal development.
- •Share save scheme.
- •Recognition from leaders and colleagues into amazing prizes.
- •Inclusive and supporting community where everyone is celebrated for being themselves.
Qualifications
- •Essential:
At least 3 years of experience in analytics, business intelligence, or closely related roles. Expert-level Snowflake proficiency and SQL skills with a strong command of advanced analytical patterns. Expert visualisation skills and report and dashboard building, preferably in Power BI and Sigma. Hands-on experience with dbt for developing, testing, and maintaining analytics-ready data models. Stakeholder management and working across multiple performance streams in the business, up to director level. Ability to work effectively in a fast-paced, high-autonomy environment with shifting priorities. Bachelor's degree in a relevant field (Mathematics, Statistics, Computer Science, Information Systems, Engineering, or equivalent).
- •Desired:
Hands-on experience with AI-assisted data development tools — particularly Snowflake Cortex and Claude Code.