BI Analyst Lead
Gypsy CollectivePolska, Województwo śląskie, Polska7 days ago
Job descriptionExperience 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.
Gypsy is looking for a Business Intelligence Analyst Lead to head the analytics stream connecting player behavior, traffic performance, and product insights.
Requirements
- 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.
Nice to have
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Bi Analyst • Polska, Województwo śląskie, Polska
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