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

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 ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Stay updated with the latest industry trends and best practices in data engineering and analytics. Ensure data security and compliance with relevant regulations and standards. Manage and prioritize ...

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 ...

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 ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Stay updated with the latest industry trends and best practices in data engineering and analytics. Ensure data security and compliance with relevant regulations and standards. Manage and prioritize ...

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 ...

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 ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site

Stay updated with the latest industry trends and best practices in data engineering and analytics. Ensure data security and compliance with relevant regulations and standards. Manage and prioritize ...

Workato

Lead Analytics Engineer

Palo Alto, CA · On-site +1

$120K - $158K/yr

Stay updated with the latest industry trends and best practices in data engineering and analytics * Ensure data security and compliance with relevant regulations and standards * Manage and prioritize ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in San Ramon, CA

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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 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
Analytics Engineer, SMB

Analytics Engineer, SMB

OpenAI

San Francisco, CA • On-site

$220K - $335K/yr

Full-time

Posted 3 days ago

Job description

About the Role
As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.
This role is based in either San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
  • Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.
  • Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics
  • Manage cross-functional data projects about revenue, pricing, usage, and other topics core to the business.
  • Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.
  • Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.
  • Conduct analyses to uncover insights and inform key decisions.
  • Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.

You might thrive in this role if you are/have:
  • Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.
  • Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.
  • Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.
  • Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
  • Proficient in quantitative programming languages, Python preferred.
  • Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.
  • Familiar with advanced custom visualizations, such as Streamlit and Plotly Dash.
  • Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.
  • Best-in-class attention to detail and unwavering commitment to accuracy.
  • Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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