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Metro-based mid-level data analyst role with common skillset increases candidate competition.
Core data governance skills transfer across industries, but insurance domain knowledge increases specificity.
Multiple required technical skills, explicit 3–6 years and regulated insurance domain make filters stringent.
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Assess and document data quality issues specifically in Claims and Underwriting domains.
Define, implement, and monitor data quality rules, KPIs, and maintain data lineage and catalog contributions.
Support enterprise data governance framework rollout, collaborating with business and IT to establish ownership and accountability, and prepare leadership reports.
Proficiency in SQL, Python or R, advanced Excel, and data quality tools like Informatica DQ, Collibra, or Talend.
Solid understanding of data governance frameworks (DAMA-DMBOK preferred) and insurance domain knowledge in Claims and Underwriting.
Bachelor's degree in Information Management, Data Science, Statistics, Computer Science, or related field.
3–6 years of experience in data quality, data governance, or data analytics roles.
Experienced in insurance industry data domains, especially Claims and Underwriting, with familiarity of P&C insurance data models.
Proven ability to work across business and IT stakeholders for issue resolution and governance adoption.
Skilled in data profiling, root cause analysis, and communicating technical insights to non-technical audiences effectively.