Senior Product Analyst role responsible for leading product data analytics and guiding business growth through data analysis and statistical research. Key duties include analyzing large datasets, developing data models and dashboards, managing data initiatives, defining and analyzing A/B tests, participating in product decisions, collaborating with R&D and Product teams globally, leveraging AI-enabled analytics tools to improve workflows, and supporting analytical initiatives across teams. Requires bachelor's degree in a quantitative field, 3+ years experience in data analysis/product analytics, advanced SQL and Python skills, experience with BI tools like Tableau, and ability to lead analytical projects and communicate insights to diverse stakeholders. Partial remote/hybrid work available. Salary range $101,712 - $156,475 plus benefits including bonus, RSUs, medical, dental, vision, 401(k), flex time off, holidays, and life/disability insurance.
What you'll do
Research and analyze large volume data sets to generate conclusions and actionable recommendations
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Requirements
Bachelor’s degree in Statistics, Data Analysis, Data Science, Applied Mathematics, Industrial Engineering, Computer Science, or related quantitative field
Three years of professional experience in data analysis, business intelligence, or product analytics role in a data-rich environment
Three years of hands-on product analytics or data science experience
Advanced SQL experience with large-scale or cloud-based data warehouses and analytical databases (e.g., BigQuery, Vertica)
Proficiency with Python or comparable analytical programming languages for data analysis and automation
Hands-on experience with BI and data visualization tools (e.g., Tableau), including dashboard design and development
Experience applying AI-enabled analytics tools to improve analytical workflows and outputs
Ability to lead analytical initiatives, own analytical/product domain, define metrics, synthesize insights, and communicate recommendations to technical and non-technical stakeholders in global cross-functional environments
