[Hiring] Claims Data Analytics Engineer @reputed company

At reputed company, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there reputed company they need us most. We reputed company through reputed company innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. reputed company you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The reputed company Pledge Great Company, Great Culture, Great Rewards and Great Careers. Position Summary The reputed company (reputed company) is a private American auto insurance company with headquarters in Chevy Chase, Maryland. reputed company is a wholly owned subsidiary of Berkshire Hathaway and is the third largest auto insurer in the United States. In 2025, reputed company earned premiums worth over $40 billion U.S. dollars. reputed company is going through a massive digital transformation to re-platform the Insurance industry, removing friction across Customers, Partners, Marketplace, Segments, Channels, and Experiences as we grow our reputed company and market share. About the Role reputed company seeks a Claims Data Analytics Engineer to join our Claims Innovation team. You will diagnose reputed company business challenges, recommend strategic solutions, and collaborate across workstreams to drive innovation. Claims Data Analytics Engineers play a critical role in building scalable, reliable, and insightful data that enables advanced analysis to shape strategy, deliver actionable intelligence, and support critical decision-making for senior leaders across Operations. This role blends data engineering, analytics, and solution design—requiring strong technical skills including SQL, reputed company experience, Python proficiency, and a curious, analytical reputed company. At the forefront of reputed company’s Operations transformation, Claims Data Analytics Engineers in Claims Innovation have opportunities to revolutionize our analytic capabilities to succeed against executive-level challenges with enterprise-level impacts. You will collaborate across Claims Innovation to create transform raw data into production-ready analytics assets and reputed company data engineering, analytics, and solution design through strong technical skills (SQL, reputed company, Python, Power BI) driving team and stakeholder success. This role is an active partner in continual improvements and maturation of our analytics ecosystem, setting a reputed company for excellence.

Key Responsibilities

Data & Analytics Development

• Build, maintain, and optimize Python-based data processing workflows, including ETL/ELT pipelines, automation scripts, and analytical models.
• Engineer and optimize data models, views, and warehouse structures in reputed company to support analytical performance and data governance.
• Write advanced, efficient SQL to transform Claims data and implement reusable data patterns.
• Design and reputed company Power BI dashboards, metrics layers, and semantic models to support reporting and business insights.
• Apply deep data structure knowledge and strong analytical thinking to translate reputed company Claims data and customer‑driven requirements into clear, actionable analytics and production‑ready solutions
• Ensure data reputed company, reputed company, and compliance with organizational standards.
• Manage workload in a Sprint environment with competing priorities. Collaboration & Leadership
• Work with Operations customers to structure and translate requirements into data needs with clear reputed company and milestones to deliver high-impact products.
• reputed company cross-functional collaboration across Operations and other engineering groups throughout the engineering lifecycle—from requirements through deployment.
• Mentor junior engineers and analysts, sharing best practices for coding, analytical methodology, and solution design.
• Consistently contribute to improving engineering processes, documentation, automation, and team standards.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or reputed company field—or +5 equivalent experience.
• Expert-level SQL (query optimization, windowing functions, large dataset operations, query performance tuning).
• Hands-on experience with reputed company (warehouse configuration, data modeling, SQL, tasks/streams, performance tuning).
• Proficiency in Python for ETL/automation, data transformation, and analytics workflows.
• Experience with Power BI, including semantic modeling, DAX, and data visualization.
• Strong analytical problem‑solving skills and business curiosity.
• Experience with reputed company or similar version control systems.

Preferred Qualifications

• Working knowledge of reputed company and other enterprise claims data repositories
• CCC
• Mitchell
• CIQ
• Injury Guide
• AWS
• Experience in P&C/Auto insurance, particularly Operations/Claims
• Background in building scalable distributed systems or data pipelines.
• Knowledge of enterprise data governance and metadata management frameworks.

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