Marketing Analyst - Retention & Conversion
Role Overview
Marketing Analyst role focused on turning player data into retention and conversion gains.
Works across marketing, CRM, product, and finance, leading analysis and experimentation and using AI tools to improve analytical workflows.
Key Skills for This Role
Full Job Posting
Role overview
Marketing Analyst role focused on turning player data into retention and conversion gains.
Works across marketing, CRM, product, and finance, leading analysis and experimentation and using AI tools to improve analytical workflows.
Responsibilities
- Analyze the player lifecycle from registration through purchase, repeat purchase, reactivation, and churn; report cohort retention, LTV, ARPU, and conversion by channel, state, and segment.
- Identify valuable player behaviors and early churn signals; maintain segments for CRM and reactivation campaigns.
- Design and interpret A/B and multivariate tests for onboarding, first-purchase offers, and messaging; recommend what to scale or stop.
- Partner with CRM and CRO teams on campaigns, journeys, and on-site changes, and measure incremental results.
- Measure bonus and promotional returns, including bonus cost as a percentage of GGR, and recommend margin-protecting adjustments.
- Build dashboards and daily, weekly, and monthly performance reporting.
- Use AI to automate analysis and reporting, improve segmentation, and surface patterns; check AI outputs critically.
- Support budget and forecast models for the revenue and EBITDA effects of retention and conversion improvements.
- Follow responsible-gaming and data-privacy standards in segmentation and targeting.
Requirements
- At least 3 years of experience as a marketing, CRM, retention, or product analyst, or equivalent.
- Proven results improving retention or conversion.
- Strong SQL and spreadsheet skills and experience with a BI tool such as Looker, Tableau, Power BI, or Metabase.
- Hands-on cohort analysis, funnel analysis, segmentation, and A/B testing experience, with a sound grasp of statistical significance.
- Demonstrable proficiency using AI tools, such as LLM assistants and AI-assisted analytics, in day-to-day work.
- Clear communication skills for presenting findings and recommendations to senior stakeholders.
- Must be based in or willing to relocate to Dubai and able to work on-site in Business Bay.
Preferred qualifications
- iGaming experience, including online casino or sports betting, 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.
- Product analytics tools such as Amplitude, Mixpanel, or GA4, and attribution experience.
- Python or R for deeper analysis.
- Understanding of regulated or sweepstakes/social-casino environments.
First 12-month success measures
Improve first-month retention by 30%, repeat purchase by 40%, and sign-up-to-purchase conversion by 30%.
Create AI-assisted workflows that reduce reporting time and improve segmentation quality.
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