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:

• 2–4+ years of experience as a Data, Product, or Performance Analyst;
• 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.