Offer summary

Qualifications:

3–5 years of experience in retention/lifecycle/CRM analytics, preferably 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 using tools like Power BI, Tableau, or Looker., Strong grasp of retention metrics such as LTV, churn, and repeat rate..

Key responsibilities:

Conduct behavioral and cohort analysis across various player segments.

Develop and validate retention strategies including welcome flows and anti-churn triggers.

Build and maintain BI dashboards to track key retention KPIs.

Analyze CRM campaign performance and support personalized communication strategies.

Job description

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! 🎉

Required profile