Middle Data Analyst

Що робити

Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;
Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;
Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;
Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;
Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;

Technical skills:
3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;
Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;
Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;
Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;

Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;
Exposure to EasyMorph or similar ETL/data preparation platforms.
Soft Skills:
High ownership and autonomy — you manage your tasks end-to-end without hand-holding;
Structured analytical thinking — you break down ambiguous business questions into clear data problems;