Data Analyst
Akaasa Technologies
remote EST state
Must have: Insurance background. Guidewire is a strong plus.
Required
- Strong SQL: complex joins, CTEs, window functions, UNION ALL, plus the ability to troubleshoot and optimize on their own
- Source-to-target mapping with solid field-level documentation
- Understanding of data grain and how it affects accuracy
- Data warehouse fundamentals: dimensional modeling, fact/dim design, SCDs, layered architecture (staging to conformed to curated)
- Data quality mindset: validation checks, reconciliation queries, monitoring
- Version control and code review experience
- High attention to detail and ownership of data accuracy
- Self-directed problem solver who brings solutions, not open-ended questions
- Comfortable digging into legacy, poorly documented source systems
- Clear documentation habits without being prompted
- Able to explain technical work to business stakeholders
Nice to have
- P&C insurance knowledge (quoting, binding, endorsements, renewals, cancellations, claims)
- ETL/ELT tools: dbt, Informatica, SSIS, Talend
- Policy admin or claims platforms: Guidewire, Duck Creek, Majesco
- Exposure to multiple lines of business
- BI tools: Power BI, Tableau, MicroStrategy
- Cloud: Snowflake, AWS, Azure, GCP
- Python or Spark
Vacancy posted more than 2 months ago
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