Data Analyst -Insurance Domain
Techila Global Services (company site, opens in a new tab)5–9 yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Validate and profile enterprise insurance data products for completeness, correctness, and consistency across multiple platform layers.
- Write and optimize complex SQL queries to investigate, trace lineage, and analyze data quality issues from raw ingestion to consumption datasets.
- Act as a liaison between engineering and business teams to translate data findings into actionable recommendations, supporting platform re-engineering and migration decisions.
Minimum Requirements
- 5 to 9 years of experience in data engineering with strong SQL and data platform skills.
- Expert-level SQL including complex joins, window functions, aggregations, CTEs, recursive queries, and experience querying large-scale data platforms.
- Strong insurance domain knowledge (policies, claims, premiums, customers, sales, CRM structures).
- Experience with Azure Synapse Analytics (SQL Pool and/or Serverless), Azure Data Lake Storage Gen2, and data architecture concepts such as medallion/lakehouse layers and data modeling.
Ideal Candidate Profile
- Experienced in enterprise-scale or regulated environments (financial services preferred) with ability to work with complex, undocumented or legacy datasets independently.
- Comfortable operating in ambiguous environments with strong analytical skills to investigate data anomalies and document clear gap analyses for both technical and business stakeholders.
- Skilled in bridging technical teams and business users, with demonstrated clarity in communication and data-quality focused mindset.