Data Analyst (Product & Customer Analytics)
Core
Transform complex data into actionable insights to drive product, customer, and business decisions by analyzing behavior, performance, and trends.
Role type
Data Analyst (Product & Customer Analytics)
Builds
Dashboards, reports, visualizations, and data models supporting strategic initiatives.
Domain
Software development / Product & Customer Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python or R, statistical analysis, data visualization, data cleaning and transformation, customer/product analytics, forecasting, segmentation, A/B testing
Preferred skills
Google Analytics (GA4), BigQuery, Tableau/Looker/Power BI, predictive analytics, Hadoop/Hive, retail/eCommerce analytics
Technologies
SQL, Python, R, Google Analytics, BigQuery, Tableau, Looker, Power BI, Hadoop, Hive
Responsibilities
Analyze customer behavior, product performance, and business trends using large datasets. Build dashboards, reports, and visualizations that support business decision-making. Develop data models and queries to extract meaningful insights from multiple data sources. Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques. Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives. Translate complex analyses into clear, actionable recommendations for stakeholders.
Seniority
Mid-level, hands-on IC
