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.
Requirements
🧭 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.
Benefits
💸 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.
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