Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
Requirements
5+ years of professional experience as a Data Analyst or Product Analyst.
A strong foundation in mathematical statistics and probability theory.
Advanced proficiency in SQL.
Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
Hands-on experience with BI tools (Tableau, Power BI, Metabase).
Strong written English for clear documentation and communication.
A proactive, detail-oriented mindset with a passion for solving complex problems.
Tech Stack
Numpy
Pandas
Python
Scikit-Learn
SQL
Tableau
Benefits
31 days off
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.