Tech Stack

Description

As a Product Data Analyst, you'll transform data into actionable insights using SQL and Python. You'll analyze product performance, user behavior, and business metrics to support strategic decisions, collaborating with Product, Data, and Business teams.

Requirements

• Proficient in SQL for data extraction, transformation, and analysis
• Experienced in Python (Pandas, NumPy, Scikit-learn) for data analysis, modeling, and automation
• Solid understanding of statistical methods and A/B testing
• Skilled in data visualization tools (e.g., Tableau, Power BI, Looker)
• Experienced in building and maintaining data pipelines and ETL processes

Responsibilities

• Support decision-making by translating requirements into analytical questions and delivering insights
• Perform in-depth analysis using SQL, Python, and statistical techniques to evaluate product performance and user behavior
• Build data pipelines, automation scripts, and analytical tools
• Create dashboards and reports, generating insights and recommendations
• Analyze A/B tests and product changes to measure impact