Customer Retention Analyst

We are a dynamic iGaming company with 5+ years of experience and a team of 1,000+ specialists. Our portfolio includes 8 successful projects, loved by players and operating across Tier 1-3 markets.

At our core, we attract and value top talent, allowing us to streamline processes and expand into new markets with confidence.

Join us as a Customer Retention Analyst and become part of a team that drives data-informed decisions, enhances player engagement, and shapes the future of iGaming through smart analytics!

Who we’re looking for:
We’re on the hunt for a Customer Retention Analyst who’s passionate about player behavior, data-driven strategies, and lifecycle optimization! If you live and breathe cohorts, dashboards, and retention frameworks—this is your moment to shine!

Your Responsibilities:
Dive deep into behavioral and cohort analysis across all player segments: F2P, FTD, NGR+, VIP, Retained, Reactivated, Churned
Develop and validate retention hypotheses: welcome flows, win-back strategies, anti-churn triggers, personalized bonuses, and engagement boosters
Build and maintain BI dashboards tracking key retention KPIs: LTV, churn rate, retention rate (D1, D7, D30), reactivation rate, ARPPU, repeat deposit rate, session frequency
Segment player base using RFM and clustering models
Analyze performance of CRM campaigns (email, push, SMS, calls) and A/B tests
Support personalization of communication scripts and retention strategies
⚠️ Identify churn risks and reduce dependency on bonus-based retention

What we’re looking for:
✔️ 3–5 years of experience in retention/lifecycle/CRM analytics—ideally in iGaming, e-commerce, or digital B2C
✔️ Proven track record with segmentation, cohort analysis, and A/B testing
✔️ Solid experience in BI reporting and dashboarding (Power BI, Tableau, Looker)
✔️ Strong grasp of retention metrics: LTV, churn, repeat rate, session frequency
✔️ Experience designing and analyzing A/B tests, uplift models, and control groups
✔️ Collaborated with CRM teams to launch and optimize personalized retention strategies
✔️ Comfortable working with SQL and data warehouses
✔️ Proactive in generating hypotheses, yet open to iterative teamwork and feedback

Tech & Soft Skills:
Advanced SQL and BI tools (Power BI preferred)
Familiarity with data architecture and automation pipelines
️ Strategic mindset with a detail-oriented approach to customer journeys
Strong communication skills and ability to collaborate across departments
English proficiency (technical reading and documentation; writing is a plus!)

Ready to take your retention analytics career to the next level?
Apply now and let’s create game-changing strategies together!