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GEICO

Staff Analytics Engineer - Product

Posted 5 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
115K-230K Annually
Senior level
In-Office
Palo Alto, CA, USA
115K-230K Annually
Senior level
Lead analytics engineering for product: build production dashboards, own semantic data models and metrics, design and maintain ETL/ELT pipelines, partner with product and engineering on instrumentation and data quality, optimize performance, and mentor junior team members.
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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.

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.
Job 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.

Basic Qualifications:
  • 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


 

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. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.


 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.


 

The GEICO Pledge:

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.

 

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

 

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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