Senior Data Analyst - Data Modeling - Reserv

Key Responsibilities

• Design, develop, and maintain logical and physical data models that support AI‑enabled claims processing workflows.
• Build and optimize ETL pipelines using SQL and Python to ingest, cleanse, and transform large volumes of claims data.
• Create interactive dashboards and reports in Tableau to surface actionable insights for adjusters, TPA partners, and product teams.
• Collaborate with data engineers, product managers, and machine‑learning scientists to ensure data quality, consistency, and availability across AWS‑based data warehouses.
• Develop and enforce data governance standards, documentation, and best practices for data lineage and metadata management.

Requirements

• 5+ years of experience in data analysis or data modeling within a fast‑moving, technology‑focused environment.
• Proficiency in SQL (complex queries, performance tuning) and Python (pandas, NumPy, scripting for data pipelines).
• Hands‑on experience building data models and ETL processes on cloud platforms, preferably AWS (Redshift, S3, Glue).
• Strong visualization skills with Tableau (or comparable BI tools) to translate data into clear, business‑ready insights.
• Excellent problem‑solving abilities, communication skills, and a track record of delivering data solutions that drive product and operational improvements.