Claims Data Analytics Engineer

GEICO • Chevy Chase, MD

1d

About The Position

GEICO seeks a Claims Data Analytics Engineer to join our Claims Innovation team. You will diagnose complex 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, Snowflake experience, Python proficiency, and a curious, analytical mindset. At the forefront of GEICO’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 blend data engineering, analytics, and solution design through strong technical skills (SQL, Snowflake, 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 benchmark for excellence.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field—or +5 equivalent experience.
• Expert-level SQL (query optimization, windowing functions, large dataset operations, query performance tuning).
• Hands-on experience with Snowflake (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 GitHub or similar version control systems.

Nice To Haves

• Working knowledge of ATLAS 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.
• Exposure of machine learning or predictive modeling techniques.
• Strong communication skills with the ability to translate technical information for non-technical audiences.

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 Snowflake to support analytical performance and data governance.
• Write advanced, efficient SQL to transform Claims data and implement reusable data patterns.
• Design and develop 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 complex Claims data and customer‑driven requirements into clear, actionable analytics and production‑ready solutions
• Ensure data integrity, security, 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 pathways and milestones to deliver high-impact products.
• Lead 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.

Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level