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Data Analyst Jobs in California (NOW HIRING)

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas ...

Data Analyst

Los Angeles, CA ยท On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of Finance Location: Van Nuys, CA Position Purpose: We are seeking a highly analytical and detail-oriented ...

Data Analyst

San Francisco, CA ยท On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll ...

Data Analyst

San Francisco, CA ยท On-site

$85K - $110K/yr

Data Analyst Status: Full Time Location: Moriarty, NM Reports To: Chief of Technology Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications ...

Qualifications Experience in a Data Analyst, Business Intelligence, or similar quantitative role. Strong focus on advertising data, AdTech, or digital media content evaluation. Expert proficiency in ...

Data Analyst

Los Angeles, CA ยท On-site

$60K - $70K/yr

Position Overview We are seeking a highly motivated Data Analyst to support the organization with data analysis, reporting, business intelligence, dashboard development, and operational insights ...

Stratolaunch is seeking a level I or II Data Analyst to support air-launched hypersonic vehicles. An ideal candidate will have knowledge of various data analytical concepts, programming languages ...

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in ...

Data Analyst

San Ramon, CA ยท On-site

$85 - $110/hr

Infinite Tek, Inc . is seeking a qualified professional to fill the positions of Data Analyst based in San Ramon, CA. Responsibilities will include: Interpret and analyze business requirements, to ...

* Data Analysts collect data, income and expenses, are able to gathers, cleans, and studies data sets to help solve problems . ... A data analyst collects, cleans, and interprets data sets in order to ...

Data Analyst. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. Responsibilities: * Query Execution : Proficiently run intricate queries across diverse data sources to ...

Data Analyst

Vallejo, CA ยท On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Data Analyst

San Francisco, CA ยท On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

Conduct data analysis, data integration, and data management * Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting

Data Analyst

San Francisco, CA ยท On-site

$104K - $184K/yr

The Role As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards ...

Data Analyst - Workplace Experience We entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard. That's why we ...

Conduct data analysis, data integration, and data management * Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

Showing results 21-40

Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in California?

The most popular types of Data Analyst jobs in California are:

What are popular job titles related to Data Analyst jobs in California?

For Data Analyst jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Data Analyst jobs?

Cities in California with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

Infinitus

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Partner with product teams and business leaders to analyze complex healthcare data and translate it into strategic insights.

  • Create frameworks, standards, and methodologies for scalable data analysis and reporting.

  • Develop and maintain automated reporting, alerting, and validation processes to monitor performance and identify trends.


Job description

Help Build the Future of Healthcare AI
Infinitus is AI communications in service of patients.
Healthcare is inherently complex and siloed. We're pioneering agentic communications to connect the entire system - any stakeholder, any channel, inbound and out. The result is intelligent care that reduces patient anxiety, increases speed to treatment, and enables teams to scale impact without stretching resources.
Our system combines industry-leading safety guardrails with the largest dynamic knowledge graph built on millions of real-world interactions. It's why 44% of the healthcare Fortune 50 trusts Infinitus to turn fragmented touchpoints into seamless care for better patient outcomes.
The Mission
At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. We've automated over 7 million calls and 100M+ minutes of conversation - saving millions of hours for patients and providers.
Backed by over $100M from top investors including Google Ventures, Kleiner Perkins, Andreessen Horowitz, and Coatue, we're a team that challenges the status quo and moves fast at the intersection of AI and healthcare. Infinitus was recently named to Fast Company's World's Most Innovative Companies and Business Insider's top startups in healthcare.
Your Role
We're looking for a Data Analyst to help guide the evolution of our analytical ecosystem, ensuring our data isn't just accessible, but deeply insightful and actionable across the company.
In this role, you'll be hands-on with complex data exploration, advanced modeling, and the translation of messy healthcare data into clear strategic narratives. You'll partner closely with our product pods and business leaders to solve high-stakes problems, while also helping define the standards for how we model metrics and validate insights. You'll bring modern practices to how we conduct deep-dive analyses and build scalable reporting, while helping other analysts and stakeholders level up their ability to work with data.
There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas interest you.
Our team's mission is to deliver high-fidelity insights and intuitive data assets that empower our internal teams to make faster, more confident decisions when identifying product opportunities, troubleshooting operational bottlenecks, and measuring our impact
Your Impact
Build Analytical Capacity: Create the frameworks, metric standards, and shared methodologies that empower partner teams to self-serve and unlock new, scalable use cases for insights.
Shape our Analytical Rigor: Help define our standards for hypothesis testing, experimentation design, and statistical validation. You'll own the best practices for how we interpret data and ensure "truth" remains consistent as we grow.
Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward, providing the insights that help us decide what to build next and where to invest our resources.
Uplift the Craft: Help partner teams design better experiments, interpret data more accurately, and ship better insights through technical guidance, documentation, and training.
Scale the Insight Loop: Expand and maintain automated reporting, alerting, and validation processes that ensure we can monitor performance and identify trends with total confidence.
Ensure Governance by Design: Integrate rigorous data integrity, privacy, and compliance standards into the analytical workflow, ensuring our insights are as secure as they are actionable.
Your Skillset
5+ years of professional experience in data analytics, with a track record of tackling complex problems and delivering high-stakes insights.
Deep fluency in SQL, with the ability to write sophisticated, maintainable queries that serve as a foundation for reliable analysis.
Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing.
Comfortable exploring ambiguity and translating open-ended business questions into well-defined analytical solutions.
Expertise in analytical methodology, including statistical validation, optimization models, and the ability to interpret trends within messy, multi-source data.
Hands-on with modern visualization and dashboarding tools (e.g., Sigma, Hex, Tableau, or Looker) to build intuitive data assets and clear narratives.
Mastery of communication, specifically the ability to translate technical findings into a clear path forward for product teams and executive leadership.
Excited to help others grow in their use of data and level up the team's collective analytical rigor.
Why You'll Love It Here
Please Note: the following benefits are for salaried employees
  • Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)
  • Competitive salary, equity, and 401(k)
  • Wellness stipend & great benefits (medical, dental, vision)
  • Generous PTO & parental leave
  • Bi-annual offsites & a collaborative, mission-driven culture

What to Expect in the Interview Process
  • Apply & meet our recruiting team
  • Virtual interviews to showcase your skills
  • Final onsite loop to meet the team and get to know us better
  • Chat with our CEO

Curious to Learn More?
  • Read our Blog to hear from Infinauts about what we're building
  • Discover how our company values (CODES) guide us
  • Follow our CEO, Ankit Jain, for industry updates

We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!
Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.