Staff Analytics Engineer - Product

Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States.

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.

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.

Requirements

• Experience: 8+ 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.

Preferred Qualifications

• 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.

Benefits

• Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
• Great Careers: Personalized development programs, mentorship, and certification assistance.
• Great Culture: Inclusive and collaborative culture rooted in shared success.
• Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

Pay

Annual Salary $115,000.00 - $230,000.00. The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate.