Description

Lead data systems analysis and governance for enterprise insurance platforms. Own the end-to-end data lifecycle from ingestion to visualization, ensuring compliance and accuracy for regulatory reporting.

Responsibilities

• Analyze structured and semi-structured claims, policy, and underwriting data to identify fraud indicators and risk trends.
• Clean, transform, and manage versioned datasets using lakehouse tools like Delta Lake and Apache Iceberg.
• Build dashboards and semantic layers in Power BI, Tableau, or Qlik to support underwriting, claims, and finance teams.
• Prepare and validate data extracts for regulatory filings (OSFI, FSRA, NAIC) and ensure full data lineage traceability.
• Collaborate with data engineers and actuaries to optimize ETL/ELT processes and support predictive model training.

Required Skills

• 10+ years of experience in data systems analysis or business analysis for enterprise data assets.
• Strong proficiency with Snowflake, Hadoop, and PostgreSQL for large-scale data management.
• Expertise in ETL processes using the Informatica product suite.
• Hands-on experience with Delta Lake and Apache Iceberg for lakehouse architectures.
• Experience with data governance, metadata management, and cataloging tools (e.g., Unity Catalog, Collibra).
• Ability to translate complex business requirements into technical data models and queries.
• Strong stakeholder management and communication skills for senior-level collaboration.

Key Skills

Education

Any Graduate