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Analytics Engineer Jobs in San Ramon, CA (NOW HIRING)

GEICO

Staff Analytics Engineer - Product

Palo Alto, CA · On-site

$115K - $230K/yr

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 ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120.50K - $158.70K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

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OpenAI

Analytics Engineer, SMB

San Francisco, CA · On-site

$220K - $335K/yr

Conduct analyses to uncover insights and inform key decisions. * Use presentations, memos, and ... Proficient in quantitative programming languages, Python preferred. * Experienced in using business ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120.50K - $158.70K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126.50K - $151.90K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

You.com

Senior Analytics Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

You'll work closely with Finance, GTM, Product, and Engineering to define metrics, agree on how success is measured, and build the self-service infrastructure that reduces the analytics backlog for ...

Zipline

Senior Analytics Engineer

South San Francisco, CA · On-site

$125.50K - $172.30K/yr

As a Senior Analytics Engineer, you will play a key role in unlocking the potential of data from various systems, enabling data pipelines, transforming raw information, and creating actionable ...

New

Zipline

Senior Analytics Engineer

South San Francisco, CA

$125.60K - $172.40K/yr

As a Senior Analytics Engineer on our team, you'll play a key role in unlocking the full potential of data from these systems. You will enable data pipelines, transform raw information to make ...

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Roblox

Finance Analytics Engineer

San Mateo, CA

$130.40K - $156.60K/yr

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data ...

Roblox

Finance Analytics Engineer

San Mateo, CA · On-site

$185.86K - $221.38K/yr

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data ...

Snowflake

Senior Data Analytics Engineer

Menlo Park, CA · On-site

$230K - $258.75K/yr

We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for ...

Together AI

Finance Analytics Engineer

San Francisco, CA · On-site

$200K - $240K/yr

... an analytics engineering or data engineering role, with meaningful time supporting Finance or business operations teams * Expert SQL and production-grade dbt experience - models, tests, docs ...

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Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What are the most commonly searched types of Analytics Engineer jobs in San Ramon, CA? The most popular types of Analytics Engineer jobs in San Ramon, CA are:
What are popular job titles related to Analytics Engineer jobs in San Ramon, CA? For Analytics Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in San Ramon, CA look for? The top searched job categories for Analytics Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Analytics Engineer jobs? Cities near San Ramon, CA with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in San Ramon, CA as of May 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Staff Analytics Engineer - Product

Staff Analytics Engineer - Product

GEICO

Palo Alto, CA • On-site

$115K - $230K/yr

Full-time

Retirement

Posted 14 days ago

GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

131st of 259 rated insurance

Job description

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.
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: 7+ 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: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.
We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: 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.

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.

What GEICO employees say

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Benefits

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Workplace

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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