Staff Analytics Engineer – Product

GEICO

Staff Analytics Engineer building dashboards, data models, and pipelines for GEICO, a major U.S. auto insurer.

Posted 9/3/2026full-timePalo Alto • California, Maryland • 🇺🇸 United StatesLead💰 $115,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics engineering and data modeling, with a strong focus on ETL/ELT pipeline development and performance optimization. Proven ability to partner with product teams to translate goals into actionable metrics and deliver impactful dashboards.

Highest-signal resume keywords

SQL ProficiencyETL/ELT DesignData ModelingLooker, Tableau, Power BIData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Analytics EngineeringData EngineeringProduction-Grade Pipeline DevelopmentMetric GovernanceData Modeling (Star/Snowflake)Quantitative AnalysisData StorytellingMetrics DocumentationMonitoring PracticesStreaming Experience

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

LookerTableauPower BIDbtAirflowSnowflakeKafkaMetabaseBeam

Industry Keywords

Insurance Industry ExperienceProduct-Focused Analytics

Tech Stack

Tools & technologies

AirflowETLKafkaPythonScalaSQLTableau

About the role

Key responsibilities & impact

Lead design and delivery of interactive, production-grade dashboards using Looker, Mode, Tableau, Metabase, Power BI, or equivalent tools
Own semantic data models and metrics, including events, user cohorts, funnels, and retention
Design, implement, and maintain ETL/ELT pipelines using dbt, Airflow, Beam, or equivalent tools
Partner with product and engineering teams to define event schemas, validate data quality, and implement monitoring and alerting for metric regressions
Serve as a trusted analytics partner to product managers, 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 and engineers
Define standards for metrics, documentation, and reproducible analyses
Provide quantitative support, market understanding, and strategic perspective to organizational partners
Make critical recommendations for Engineering and Product Management

Requirements

What you’ll need

8+ years in analytics engineering, data engineering, or applied analytics with product-focused experience
Proficient with SQL and a modern analytics stack, including a 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; ability to present findings to non-technical stakeholders and influence product direction
Experience establishing data QA, lineage, and monitoring practices
Preferred: Python or Scala for data engineering, Airflow, Kafka, or streaming experience
Preferred: familiarity with metric governance, metric stores, and versioned dbt projects
Preferred: insurance industry experience

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Benefits
Flexibility to support your well-being and future
Inclusive and collaborative culture
Work authorization sponsorship consideration for a new qualified applicant