Data Analyst

About the Role

You will support product data initiatives by analyzing metrics, running and analyzing A/B tests, and generating clear, actionable insights. You will write SQL to extract data, build and maintain dashboards, help develop basic analytical models and frameworks, and collaborate with product and engineering to meet data needs. You will present findings to stakeholders and contribute to improving data processes and documentation.

Requirements

• 1–2+ years experience in a data analyst, BI analyst, or data-related role (internships and project work count)
• Solid SQL skills (BigQuery experience a plus)
• Familiarity with Python or R for data analysis
• Experience building dashboards or visualizations (Looker, Grafana, Tableau)
• Understanding of basic A/B testing concepts and experimentation frameworks
• Ability to transform data into clear insights and actionable recommendations
• Strong communication skills and willingness to collaborate with cross-functional teams
• Experience with consumer or product analytics data (preferred)
• Familiarity with FullStory or event-tracking platforms (preferred)
• Exposure to statistical concepts (hypothesis testing, confidence intervals) (preferred)
• Experience with data pipelines or ETL tools (preferred)
• Curiosity about machine learning concepts (preferred)

Responsibilities

• Design, run, and analyze A/B tests
• Investigate product metrics to uncover trends and issues
• Build and maintain dashboards to track KPIs and present insights
• Write SQL queries to extract and analyze data
• Support development of basic analytical models and frameworks
• Collaborate with product and engineering to fulfill data needs
• Present clear insights to stakeholders
• Improve data processes, documentation, and best practices

Benefits

• Competitive salary and equity package
• Flexible work arrangements
• Comprehensive health benefits
• Professional development budget

Skills