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Job Description & How to Apply Below
- Data Engineering:
Design, build, and optimize automated ETL/ELT pipelines to move data from raw sources into actionable reporting layers. - Architecture & Modeling:
Implement robust data models (and semantic layers to ensure organizational data is "single source of truth" compliant. - BI Development:
Create and maintain high-performance Power BI dashboards using advanced DAX to visualize complex actuarial and operational KPIs. - Strategic Support:
Partner with the Actuarial and Data Science teams to provide high-quality datasets for machine learning, pricing, and reserving initiatives. - Governance:
Maintain data integrity through rigorous validation and monitoring while version-controlling all work via Git.
- Expert SQL and Power BI (DAX) skills.
- · Proficiency in Python or R for data manipulation.
- · Solid understanding of data warehousing
- Process:
Experience working in Agile/Scrum environments with Git version control.
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