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Mid-level managerial data role in Mumbai with common analytics skills and known financial brand.
Actuarial life-insurance domain and audit evidence requirements make cross-industry transfers difficult.
Explicit 6–10 years requirement, actuarial/financial audit experience, and specific analytics tech increase strictness.
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Operate and maintain data pipelines that validate, transform, and enrich policyholder data for actuarial modelling and assumption setting.
Investigate and resolve data issues proactively or as raised by stakeholders, ensuring high data quality and compliance.
Produce reports, dashboards, and documentation to support business decisions and audit processes within defined timelines and quality standards.
6-10 years of relevant Data Analytics experience in Financial Services or a closely related heavily audited environment.
Bachelor’s or Master’s Degree in relevant field; Data Analyst certifications advantageous but not mandatory.
Proficiency in Excel (advanced), Power BI, Python or Python/PySpark, and experience with data pipeline processes (validation, transformation, enrichment).
Work Experience Required: 6-10 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in financial services data management with strong understanding of audit controls and operational resilience.
Skilled in translating complex data into clear insights and communicating with both technical and non-technical stakeholders.
Able to work independently within structured frameworks, prioritizing tasks and maintaining documentation to support governance and continuous improvement.