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BI Analyst Lead

Gypsy Collective

Ukraine Remote permanent

Posted: October 27, 2025

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Quick Summary

We're looking for a BI Analyst Lead to head the analytics stream connecting player behavior, traffic performance, and product insights. The ideal candidate should have 4+ years of experience in data analytics, a deep understanding of traffic, conversion, LTV, and monetization metrics, and hands-on experience with SQL (PostgreSQL / B). This is a challenging role that requires strong analytical skills and the ability to translate insights into actionable business and product decisions.

Job Description

Gypsy is looking for a Business Intelligence Analyst Lead to head the analytics stream connecting player behavior, traffic performance, and product insights.
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;
• 1+ year of team management experience;
• 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:

• 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.).

📋 Your daily adventures:

• 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.


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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