Staff Analytics Engineer - Product
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 Staff 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.
Responsibilities
- Lead design and delivery of interactive, production-grade dashboards (Looker/Mode/Tableau/Metabase/Power BI) that answer product and business questions.
- Own semantic data models and metrics (events, user cohorts, funnels, retention) ensuring accuracy and consistency across reports.
- Design, implement, and maintain ETL/ELT pipelines (dbt, Airflow, Beam, or equivalent) to ingest, clean, and transform product and event data.
- Partner with product and engineering to define event schemas, validate data quality, and implement monitoring/alerting for metric regressions.
- Serve as trusted analytics partner to PMs, designers, and engineers—translate product questions into analytics requirements and deliverables.
- Optimize queries, dashboards, and pipelines for performance and cost at scale.
- Mentor junior analysts/engineers, define standards for metrics, documentation, and reproducible analyses.
Requirements
- 7+ years in analytics engineering, data engineering, or applied analytics with product-focused experience.
- Proficient with SQL and modern analytics stack (data warehouse such as Snowflake, dbt or similar, and a BI tool).
- Strong ETL/ELT design, data modeling (star/snowflake/semantic layers), and production-grade pipeline development.
- Demonstrated ability to partner with product teams and translate product goals into measurable metrics and dashboards.
- Clear storytelling with data—can present findings to non-technical stakeholders and influence product direction.
- Experience establishing data QA, lineage, and monitoring practices.
Nice-to-haves
- Python or Scala for data engineering, Airflow, Kafka, or streaming experience.
- Familiarity with metric governance, metric stores, and versioned dbt projects.
- Insurance industry experience
Benefits
- 401K savings plan vested from day one that offers a 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Mental healthcare
- Fertility and adoption assistance
- Workplace flexibility
- GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.