Marketing Analyst - Retention & Conversion

About the Role

We’re looking for a Marketing Analyst to turn player data into retention and conversion gains.You’ll sit between marketing, CRM, product, and finance. Your job is to find where players dropoff, work out why, and design and measure the fixes. You’ll lead on analysis andexperimentation, and you’ll use AI to work faster and go deeper than a traditional analyst. Key ResponsibilitiesAnalyse the player lifecycle from registration through first purchase, repeat purchase,reactivation and churn. Report on cohort retention, LTV, ARPU and conversion bychannel, state and segment.Identify high-value player behaviours and early churn signals. Build and maintainsegments for CRM and reactivation campaigns.Design, run and read out A/B and multivariate tests across onboarding, first-purchase,offers and messaging. Recommend what to scale and what to stop.Work with the CRM and CRO teams to turn insights into campaigns, journeys andon-site changes. Track the incremental results.Measure the return on bonus and promotional spend, including bonus cost as apercentage of GGR, and recommend adjustments to protect margin.Build dashboards and regular reporting (daily, weekly, and monthly) so leadership cansee retention and conversion performance at a glance.Use AI tools to automate analysis and reporting, speed up segmentation and surfacepatterns. You are expected to check their outputs critically.Support budget and forecasting work by modelling the effect of retention and conversionimprovements on revenue and EBITDA.Follow responsible-gaming and data-privacy standards in all segmentation and targetingwork.

Requirements

Minimum 3 years’ experience as a marketing, CRM, retention, or product analyst or in anequivalent role.Proven track record of improving retention or conversion, shown by specific results.Strong SQL and spreadsheet skills, plus experience with a BI tool such as Looker,Tableau, Power BI, or Metabase.Hands-on experience with cohort analysis, funnel analysis, segmentation, and A/Btesting, including a sound grasp of statistical significance.Demonstrable proficiency with AI tools, such as LLM assistants and AI-assistedanalytics, in your day-to-day work. Be ready to give examples.Clear communicator who can present findings and recommendations to seniorstakeholders.Based in, or willing to relocate to, Dubai, and able to work on-site in Business Bay.Preferred: Experience in iGaming (online casino and/or sports betting), including bonus mechanics,VIP or loyalty programmes and player lifecycle management.Familiarity with CRM and marketing automation platforms such as Braze, Optimove,Customer.io or similar.Experience with product analytics tools (Amplitude, Mixpanel, GA4) and attribution.Python or R for deeper analysis.Understanding of regulated or sweepstakes/social-casino environments.What success looks like (first 12 months): A 30% improvement in our first-month retention rateA 40% improvement in our repeat purchase rateA 30% improvement in our sign-up-to-purchase rateAI-assisted workflows that cut reporting time and improve segmentation quality