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Metro location, common analytics skillset, and senior product-analytics title create moderate candidate competition.
Core analytics, experimentation, and SQL skills are easily transferable across industries despite insurance domain.
Explicit 7+ years and mandatory SQL, A/B testing, statistics, and Python make shortlisting stringent.
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Lead A/B testing and experimentation efforts to measure product feature impacts and drive data-driven decisions.
Perform exploratory and in-depth analyses on large data sets to identify high-impact product opportunities and understand user behavior.
Develop and maintain dashboards and visualizations to monitor KPIs and inform stakeholders including executives.
7+ years of experience in data analysis, data science, or data-driven product management.
Expert proficiency in SQL and experience with data visualization tools.
Experience designing and analyzing A/B tests; knowledge of statistical techniques including regression and confidence intervals.
Familiarity with scripting languages such as Python or R.
Experienced working cross-functionally with product managers to define feature goals and translate data into actionable insights.
Skilled at creating clear, executive-level presentations to influence product and business strategy.
Comfortable operating independently and managing multiple tasks in a fast-paced, scaling startup environment.