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

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA

$120K - $158K/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 ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120K - $158K/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

$126K - $151K/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 ...

Rippling

Analytics Engineer - Payments

San Francisco, CA · On-site

$114K - $199K/yr

About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments to join our rapidly expanding team. In this pivotal role, you will ...

GC AI

Analytics Engineer, Revenue

San Mateo, CA · On-site +1

$181K - $245K/yr

About The Role We are seeking an Analytics Engineer to join Revenue Operations and build the intelligence layer that turns GC AI's data into decisions. Reporting to Emma Heist, Head of Revenue ...

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Roblox

Finance Analytics Engineer

San Mateo, CA · On-site

$185K - $221K/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

$130K - $156K/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 ...

Faire

Senior Analytics Engineer - GTM

San Francisco, CA

$196K - $269K/yr

You will lead the path in using AI to boost productivity and transform how analytical engineering operates-leveraging AI to streamline data pipeline development and operations, improve GTM data ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in San Ramon, CA

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.

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.

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 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 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 July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% In-person, and 21% Remote job distribution.
Senior Analytics Engineer, Product

Senior Analytics Engineer, Product

ClickHouse

San Francisco, CA • On-site

Other

Re-posted 26 days ago

Job description

ClickHouse is hiring a Senior Analytics Engineer, Product, to help scale our product analytics function and turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio.

In this role, you will be a core operator of our product data system, partnering deeply with Product, Engineering, and Growth to define what we measure, how we model it, and how we use it to make better decisions. You will own foundational data models, metrics, and analytical workflows that span growth and our expanding suite of ClickHouse products as we continue to build out our product data function.

Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into one of our Bay Area offices, Menlo Park and San Francisco, 1-2x per week. 

What You'll Be Doing:
  • Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate them into technical requirements
  • Develop deep expertise in the ClickHouse product and platform, becoming the connective tissue between product surfaces, engineering telemetry, and stakeholder reporting
  • Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
  • Partner closely with Product, Engineering, and Growth to align on metric definitions, instrument new features, and operationalize a single source of truth for product data
  • Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
  • Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
  • Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation
What You Bring Along:
  • 5+ years of experience in analytics engineering, BI, or data roles within a SaaS or technology company
  • Deep experience supporting Product, Growth, or Engineering functions, ideally in a product-led or technical product environment
  • Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
  • Experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery, and is excited to go deep on ClickHouse
  • Proficient in Python for data analysis, automation, or workflow development
  • Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
  • Communicates clearly and can translate complex data into actionable business insights for both technical and non-technical audiences
  • Comfortable operating in ambiguity and taking ownership of open-ended problems in a fast-growing function

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