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AI-Powered Job Summary
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This role is for someone who thinks in numbers, sees patterns in data, and can translate analytics into clear business and product actions.
Requirements
🧭 What makes you a great match:
- 4+ years of experience in data analytics, with at least 2 years in iGaming;
- Deep understanding of traffic, conversion, LTV, retention, and monetization metrics;
- Hands-on experience with SQL (PostgreSQL / BigQuery) and Python (Pandas, NumPy);
- Confident use of BI tools — Tableau / Superset / Looker Studio;
- Strong understanding of the player lifecycle and user journey analytics;
- Proven leadership experience — setting priorities, mentoring, and managing analysts;
- Excellent communication and presentation skills; ability to deliver insights effectively across business and product teams
- Experience with machine learning-based analytics (e.g., churn prediction, player segmentation);
- Understanding of affiliate tracking systems and multi-operator analytics;
- Familiarity with game economy principles — bonus mechanics, RTP, and game-level metrics;
- Knowledge of ETL / DWH processes (Trino, Airflow, Iceberg, etc.)
- Lead the analytics stream focused on traffic, player behavior, and product performance;
- Analyze acquisition sources, affiliate performance, conversion rates, and player LTV to identify growth opportunities and inefficiencies;
- Examine player engagement, retention, and monetization patterns to recommend product improvements that enhance user experience and revenue;
- Build end-to-end visibility from traffic to gameplay and payments, linking acquisition quality to downstream monetization;
- Conduct experiment and A/B test analyses for product and marketing teams, evaluating the impact of bonuses, features, and onboarding flows;
- Ensure data accuracy across platforms (operators, back offices, analytics tools); validate tracking setups, event accuracy, and funnel integrity;
- Oversee the creation of dashboards in Tableau / Superset reflecting key traffic, product, and financial metrics;
- Collaborate closely with DWH, product, and affiliate teams to align KPIs, prioritize initiatives, and standardize data definitions;
- Mentor analysts within the stream, establish best practices, review deliverables, and ensure high-quality data storytelling;
- Present findings and actionable insights to stakeholders, transforming complex analytics into clear business narratives
💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.
Key Skills
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