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Common Data Analyst title, mid-level 3–7 years, and metro locations increase candidate competition.
Requires insurance domain experience, reducing cross-industry transferability of candidates.
Explicit 3–7 years, mandatory insurance domain experience, and required SQL/Python/Power BI raise shortlisting strictness.
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Analyze large insurance datasets to derive business insights, trends, and support decision-making across underwriting, claims, actuarial, and finance functions.
Design and develop interactive dashboards and reports using Power BI; write complex SQL queries for data extraction, transformation, and validation.
Use Python for data wrangling and advanced analysis; collaborate with business stakeholders and data teams to translate requirements into analytical solutions and create source-to-target mapping documents.
3–7 years of relevant experience.
Experience in the insurance domain.
Technical proficiency in SQL, Python, Power BI, and working knowledge of Data Warehousing/Lakehouse environments.
Location requirement: Bangalore or Delhi (Hybrid work mode).
Strong domain expertise in insurance enabling deep business insights and trend analysis.
Experienced in handling end-to-end data analytics lifecycle including requirement gathering, data processing, and solution delivery.
Comfortable working collaboratively with cross-functional stakeholders and technical teams in hybrid work settings.