Staff Analytics Engineer, Product

GEICO•Chevy Chase, MD

6d•$115,000 - $230,000

About The Position

At GEICO, 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 when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management.

Requirements

Experience: 5+ years in analytics engineering, data engineering, or applied analytics with product-focused experience.
Tools: Proficient with SQL and modern analytics stack (data warehouse such as Snowflake, dbt or similar, and a BI tool).
Engineering Skills: Strong ETL/ELT design, data modeling (star/snowflake/semantic layers), and production-grade pipeline development.
Product Sense: Demonstrated ability to partner with product teams and translate product goals into measurable metrics and dashboards.
Communication: Clear storytelling with data—can present findings to non-technical stakeholders and influence product direction.
Quality Mindset: Experience establishing data QA, lineage, and monitoring practices.

Nice To Haves

Languages & Tools: Python or Scala for data engineering, Airflow, Kafka, or streaming experience.
Analytics Best Practices: Familiarity with metric governance, metric stores, and versioned dbt projects.
Domain: Insurance industry experience

Responsibilities

Dashboard Development: Lead design and delivery of interactive, production-grade dashboards (Looker/Mode/Tableau/Metabase/Power BI) that answer product and business questions.
Data Modeling: Own semantic data models and metrics (events, user cohorts, funnels, retention) ensuring accuracy and consistency across reports.
Pipeline Engineering: Design, implement, and maintain ETL/ELT pipelines (dbt, Airflow, Beam, or equivalent) to ingest, clean, and transform product and event data.
Instrumentation & QA: Partner with product and engineering to define event schemas, validate data quality, and implement monitoring/alerting for metric regressions.
Collaboration: Serve as trusted analytics partner to PMs, designers, and engineers—translate product questions into analytics requirements and deliverables.
Performance & Scalability: Optimize queries, dashboards, and pipelines for performance and cost at scale.
Mentorship & Best Practices: Mentor junior analysts/engineers, define standards for metrics, documentation, and reproducible analyses.

Benefits

We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
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.

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