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Bangalore location, common analytics skillset, and generalist product-analytics title make candidate competition moderate.
Core analytics skills are transferable across industries, but insurance/product-domain knowledge increases specificity.
Explicit 7+ years requirement plus mandatory SQL, experimentation, and statistical skills create strict filters.
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Lead A/B testing and experimentation initiatives to measure feature performance and incremental impact.
Generate exploratory analyses and develop dashboards to monitor key product KPIs and user engagement.
Collaborate cross-functionally to provide actionable product insights that influence strategic and executive decisions.
7+ years experience in data analysis, data science, or data-driven product management.
Expert knowledge of SQL and experience with data visualization tools.
Experience designing and analyzing A/B tests and familiarity with statistical techniques like regression and confidence intervals.
Proficiency with a scripting language such as Python or R.
Demonstrated ability to independently manage complex analytics projects in fast-paced, rapidly-scaling startup environments.
Operates with strong analytical rigor to deliver actionable insights that support product and business growth.
Experienced in collaborating with product managers and data engineers to align on business logic and experimentation frameworks.