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Mumbai-based mid-level data role with common tools (Excel/Python/PowerBI/Databricks) drives high competition.
Actuarial policyholder data in a regulated life-insurance context requires domain-specific experience, limiting transferability.
Explicit 1–4 years, mandatory analytics tools and audited financial controls create strict shortlisting filters.
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Operate, maintain, and update data pipelines for validation, transformation, and enrichment of policyholder data used in actuarial modelling and assumption setting.
Ensure data integrity through validation, quality checks, and governance adherence while investigating and resolving data issues proactively and on stakeholder requests.
Produce accurate reports, dashboards, and documentation to support business decisions and audit requirements within agreed timelines and standards.
1-4 years of relevant Data Analytics experience.
Bachelor’s Degree or Master’s Degree in any discipline.
Proficiency in Excel (advanced skills), Power BI, and/or Python for data analysis and automation.
Experience with data governance, quality validation, and producing audit evidence in a heavily audited environment.
Experienced in handling actuarial or financial services data, preferably UK Life Insurance data.
Skilled in data pipeline technologies like Databricks, Spark, Spark SQL, Python/PySpark (preferred but not mandatory).
Able to communicate complex data insights clearly to both technical and non-technical stakeholders and manage workload effectively within structured processes.