Data Analyst – Middle

This is a fully remote position, open to applicants in Poland.

📋 Description

• Analyze essential product and business metrics, including user engagement, retention, conversion rates, revenue-related metrics, and other fundamental KPIs.

• Examine user behavior throughout the customer journey utilizing cohort, funnel, and lifecycle analysis.

• Extract, combine, and prepare data for analysis using SQL.

• Develop and sustain reporting and BI dashboards, preferably using Tableau.

• Investigate anomalies and performance discrepancies, identify issues, and diagnose root causes.

• Conduct ad-hoc analyses for product and leadership teams to aid in tactical and strategic decision-making.

• Oversee data quality and consistency across product and financial datasets.

• Document metric definitions, analytical methodologies, and key findings.

• Offer insights and clear recommendations to product and business teams.

⛳️ Requirements

• 3+ years of experience as a Data Analyst, Product Analyst, or Operations Analyst.

• Strong analytical skills with the ability to interpret numerical data in a business context.

• Solid grasp of core analytics concepts, including funnels, cohorts, retention, and lifecycle metrics.

• Capability to translate business inquiries into analytical tasks and clearly communicate results to non-technical stakeholders.

• Proficient in SQL, with confidence in reading and writing analytical queries (joins, aggregations, window functions).

• Experience with BI tools, particularly Tableau.

• Fluent in Russian, both spoken and written.

• Proficient in English at a B2 level, both spoken and written.

• Experience in iGaming, fintech, or B2B SaaS is a plus.

• Understanding of product and business unit economics, including revenue drivers, conversion, retention, customer value, and profitability metrics is advantageous.

• Basic knowledge of statistics, such as confidence intervals, p-values, and common pitfalls in experiment interpretation is a plus.

• Experience with ClickHouse is beneficial.

• Familiarity with Python for analytics is a plus.

🏝️ Benefits

• Full-time employment opportunities.

• Private insurance coverage.

• An additional day off (1) per calendar year.

• Compensation for sports programs.

• Comprehensive Mental Health Programme.

• Free online English lessons with native speakers.

• Generous employee referral program.

• Access to training, internal workshops, and participation in international professional conferences and corporate events.