Data Analyst

• Conducting comprehensive analysis of product metrics and cohorts (Retention, LTV, Conversion) to identify growth opportunities and user behavior patterns.
• Designing A/B tests and evaluating their results using statistical methods (p-value, confidence intervals) to support valid decision-making.
• Translating business objectives into analytical hypotheses and dashboards, prioritizing them using frameworks (ICE/RICE), and deriving actionable insights.
• Writing complex SQL queries (window functions, CTEs) to work with large datasets and event logs from the DWH.
• Building data marts and visual reports in BI systems (Tableau, Power BI, Looker) to ensure transparency of key product metrics.
• Initiating and controlling the quality of event-tracking implementation to ensure reliable analytics.
• Providing ad-hoc reports and in-depth analysis (including Python) to validate hypotheses and explore factors affecting sales funnels and unit economics.

• Experience as a Product Analyst / Data Analyst for 5+ years.
• Strong SQL skills (JOIN, CTE, window functions).
• Understanding of product metrics: DAU/MAU, Retention, ARPU, LTV, CAC, Conversion.
• Experience with cohort analysis.
• Knowledge of statistics: p-value, confidence intervals, A/B testing, error control.
• Experience working with logs/events data.
• Experience with BI tools: Tableau / Power BI / Looker / Metabase.
• Experience with product analytics tools: Amplitude / Mixpanel / GA4.
• Advanced proficiency in Excel / Google Sheets.
• Ability to translate business questions into analytical tasks.
• Understanding of the product lifecycle.
• Ability to identify insights and formulate practical data-driven recommendations.
• Experience prioritizing hypotheses using ICE/RICE frameworks.
• Level of English – from Intermediate and above.

• Experience working with Python (pandas, numpy, matplotlib).
• Experience in fintech / marketplaces / mobile products.
• Experience working with ML models (churn, propensity, recommendation).
• Knowledge of CDP / DWH (BigQuery, Snowflake, ClickHouse).
• Experience working with event-tracking schemas.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.;
• The opportunity to change the project and/or develop expertise in an interesting business domain;
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee;
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities;
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies);
• Certification compensation (AWS, PMP, etc);
• Referral program;
• English courses;
• Private health insurance and compensation for sports activities.

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