Senior Data Analyst

Responsibilities: — Define and develop key product metrics. — Generate data-driven insights to support product and business decisions. — Design, launch, and analyze A/B tests, covering all stages from hypothesis formulation to final results. — Monitor key metrics and identify anomalies or trends. — Write SQL and Python code for data extraction, transformation, and analysis. — Participate in implementing new tracking events and parameters. — Collaborate closely with product managers, analysts, designers, data scientists, and data engineers. Requirements: — At least 5 years of experience in analytics. — Deep understanding of A/B experiments and statistics. — Strong proficiency in Python and SQL. — Experience working with ClickHouse and handling large volumes of data. — Ability to translate business questions into metrics and reports. — Experience with Google Analytics, Amplitude, or similar analytics tools. — Experience with Airflow, preferably combined with dbt. Nice to have: — Experience implementing data governance practices. — Experience applying ML approaches in analytics. — Experience managing teams including data engineers, data scientists, or product analysts. Benefits: — Flexible working conditions without bureaucracy. — Comprehensive benefits package including medical insurance, tax coverage, foreign language courses, professional training, and necessary work equipment. — Relocation support covering expenses for you and your family, including tickets, visa support, and first month accommodation. — Friendly international team valuing professionalism and collaboration. This role offers the opportunity to have a significant impact on the product and business beyond just analyzing numbers.