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Grade
Senior
Experience
from 4 years
Work Format
Remote
Employment
Full-time
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A product IT company that develops and supports high-load projects for large companies, including world-renowned ones, primarily entertainment online services, is looking for a Data Analyst.
๐ Responsibilities: โ Data analysis โ web analytics statistics and logs; โ Design and validation of A/B experiments; โ Analysis of product changes, promo mechanics; โ Creation of dashboards for regular analytics and ad-hoc tasks.
๐ป Requirements: โ Relevant experience in data analytics of 4+ years; โ DB stack: MySQL (or similar), ClickHouse (or similar); โ Proficient knowledge of SQL (window functions, query optimization); โ Analysis of A/B testing results; โ Knowledge of Python, including libraries for data analysis (numpy/pandas/scipy/statmodels/sklearn and others); โ Experience with BI systems (Power BI or similar); โ Understanding of key product metrics (LTV, ARPU, Retention, etc.); โ Ability to document results qualitatively; โ Analytical thinking, communication skills, teamwork, interest in self-development.
โ Will be a big plus: โ Ability to independently prepare data marts for solving tasks; โ Experience with Apache Airflow or similar; โ Analysis of the user journey, forming recommendations, searching for insights into user behavior; โ Ability to use GitLab, Confluence, Jira.
๐ What the company can offer: โ Remote / office / hybrid work format โ your choice; โ Opportunity to develop your competencies and apply knowledge in practice; โ Opportunity to work on large-scale projects; โ The company is interested in the development of its employees: willing to attract mentors and pay for advanced training courses; โ Absence of bureaucracy, quick approval of necessary items; โ Paid sick leave and vacation; โ Voluntary medical insurance after 6 months of work in the company; โ Partial compensation for English language or psychologist โ your choice; โ Gym compensation; โ 4 day-off per year at the company's expense; โ Employee support during important life periods; โ Annual bonus based on performance results; โ A large, highly qualified team to whom you can always turn for help; โ Referral program for successful recommendations.
