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Mid-level data analytics role in Mumbai with popular skillset and metro location drives high applicant density.
Core data skills are transferable but actuarial and UK life insurance domain knowledge increases fit sensitivity.
Explicit 6-10 years, financial services audit experience and mandatory analytics tools make screening moderately strict.
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Operate, maintain, and update data pipelines that validate, transform, and enrich policyholder data for actuarial modelling and assumption setting.
Investigate and resolve data issues proactively and upon stakeholder notification, ensuring data integrity and compliance with governance standards.
Produce accurate reports, dashboards, and documentation while managing workload within agreed timelines and supporting audit requirements.
6-10 years of relevant Data Analytics experience, preferably in Financial Services or a closely related field.
Proficiency in data analysis tools including Excel (advanced skills), Power BI, Python/PySpark; understanding of data pipelines and validation processes.
Bachelor’s or Master’s Degree; Data Analyst Certifications are advantageous but not mandatory.
Experience working in heavily audited environments with knowledge of operating controls and producing audit evidence.
Experienced in managing data validation, transformation, and quality controls specifically for actuarial or financial datasets within regulated environments.
Skilled at stakeholder collaboration translating complex data requirements into operational data pipeline logic and documentation.
Demonstrates strong analytical expertise combined with attention to detail and ability to communicate findings clearly to both technical and non-technical stakeholders.