Data Analyst job opportunity at Gypsy Collective.

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Date2026-01-26T11:45:02.272Z bot
Gypsy Collective Data Analyst
Experience: 2-years
Pattern: Full-time
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Ukraine

The Data Analyst is responsible for ensuring product stability and driving growth by continuously monitoring key metrics, detecting anomalies, and performing deep-dive analyses to uncover the drivers behind performance shifts. This role is not about building data pipelines; it is about  analytical investigation . You will focus on understanding the "why" behind the data—identifying what broke, what worked, and providing actionable insights to optimize results. 🧭 What makes you a great match: 2+ years of experience as a Data, Product, or Performance Analyst in iGaming; Solid understanding of product and business metrics (KPIs, Funnels, Retention, Revenue, Conversion, etc.); Proven track record in troubleshooting metric drops, analyzing instability, and identifying root causes; Strong command of SQL (PostgreSQL / BigQuery), including complex queries, joins, and aggregations; Experience building and maintaining dashboards in Tableau, Looker Studio, or similar tools; Practical experience using Python for data analysis (Pandas, Numpy); Advanced proficiency in Excel / Google Sheets for rapid data validation and hypothesis testing. 📋 Your daily adventures: KPI Monitoring & Reporting Continuously track key product and business KPIs to ensure data health; Identify deviations from expected values and ensure timely, accurate reporting; Maintain the integrity of analytical dashboards. Performance Gap & Root Cause Analysis (RCA) Investigate drops or fluctuations in metrics to distinguish symptoms from core issues; Conduct deep-dive analyses to explain performance changes and provide clear, data-backed answers; Establish the root causes of performance shifts rather than just reporting symptoms. Benchmarking & Optimization Establish benchmarks based on historical data to evaluate current performance; Compare results against internal standards to identify opportunities for growth and optimization; Track performance trends over time to predict potential risks. Actionable Insights & Recommendations Translate complex data sets into clear, narrative insights for stakeholders; Highlight both "red flags" and success stories, proposing specific actions to improve KPIs; Turn raw data into actionable business strategies. Cross-functional Collaboration Partner with Product, Marketing, and Finance teams to align analytics with business objectives; Empower teams to make data-informed decisions through clear communication; Help stakeholders better understand data trends and their direct impact on the business.

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