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Quantitative Data Analyst Jobs in California (NOW HIRING)

Merge

Data Analyst

San Francisco, CA · On-site

$150 - $200/hr

Degree in data science, computer science, statistics, or a similar quantitative field. * 2+ years in analytics, data science, insights, or a technical GTM / BizOps role. * Strong SQL. You write clean ...

Catasys Health

REMOTE Data Analyst

Los Angeles, CA · Remote

Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ... Expertise performing quantitative analysis * Excellent communication and presentation skills: you ...

psudo

As a data analyst, you will be responsible for compiling actionable insights from data and ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

Collaborate with User Research to connect quantitative analysis with qualitative findings from ... Experience working with telemetry data and game analytics workflows. * Strong analytical and ...

Aquent

Data Analyst (212647)

San Jose, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Aquent

Data Analyst (212647)

Alameda, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Green Dot Corporation

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Analyze quantitative and qualitative datasets to generate actionable recommendations for cross ... Ensure data quality through documentation, QA, and ongoing monitoring of delivered outputs.

Aquent

Data Analyst (212647)

Santa Clara, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Green Dot Corporation

Senior Data Analyst

San Francisco, CA · Hybrid

$101K - $127K/yr

Analyze quantitative and qualitative datasets to generate actionable recommendations for cross ... Ensure data quality through documentation, QA, and ongoing monitoring of delivered outputs.

Aquent

Data Analyst (212647)

San Mateo, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Aquent

Data Analyst (212647)

Sonoma, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Aquent

Data Analyst (212647)

Hayward, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Aquent

Data Analyst (212647)

Fremont, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Green Dot Corporation

Senior Data Analyst

Los Angeles, CA · Hybrid

$92K - $116K/yr

Analyze quantitative and qualitative datasets to generate actionable recommendations for cross ... Ensure data quality through documentation, QA, and ongoing monitoring of delivered outputs.

Aquent

Data Analyst (212647)

Santa Rosa, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

Aquent

Data Analyst (212647)

San Francisco, CA · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field. * 3+ years of professional experience in data analysis, business ...

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All JobsQuantitative Data Analyst JobsQuantitative Data Analyst Jobs in California

Quantitative Data Analyst information

See California salary details

$55.8K

$132.1K

$236.9K

How much do quantitative data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative data analyst in California is $132,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $143,600.00 per year, depending on experience, location, and employer.

What does a quantitative data analyst do?

A Quantitative Data Analyst uses statistical, mathematical, and computational techniques to analyze complex datasets and derive meaningful insights. They work with large datasets to identify patterns, trends, and correlations that support data-driven decision-making. Typically, they use programming languages like Python, R, and SQL, along with tools like Excel and machine learning models. Their work is crucial in industries like finance, healthcare, and technology, where data-driven strategies improve efficiency and outcomes.

What are the key skills and qualifications needed to thrive as a quantitative data analyst?

To thrive as a Quantitative Data Analyst, you need strong analytical skills, proficiency in statistics and mathematics, and a relevant degree such as in mathematics, statistics, economics, or computer science. Expertise with technical tools like SQL, Python, R, data visualization platforms, and possibly certifications in data analytics or statistical software is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These competencies ensure the accurate analysis and clear presentation of complex data, enabling informed business decisions and organizational success.

What are some common challenges quantitative data analysts face in their day-to-day work?

Quantitative Data Analysts often encounter challenges such as ensuring data accuracy, cleaning large and complex datasets, and managing inconsistent or incomplete information. They may also need to translate abstract statistical findings into clear, actionable recommendations for team members who may not have a technical background. Additionally, balancing multiple projects and tight deadlines can require strong organizational skills. Collaborating effectively with colleagues from different departments helps to align analytical solutions with business objectives and ensures that insights drive real impact.

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

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

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

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

What job categories do people searching Quantitative Data Analyst jobs in California look for?

The top searched job categories for Quantitative Data Analyst jobs in California are:

Quantitative Data Analyst jobs near you
Infographic showing various Quantitative Data Analyst job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $132,124 per year, or $63.5 per hour.

Data Analyst

Merge

San Francisco, CA • On-site

$150 - $200/hr

Other

Posted 11 days ago

Job description

Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers three core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools, and Merge Gateway, the control plane for running AI in production. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.

Who are we looking for?

We're a high-growth Series B company selling into a fast-moving AI and developer ecosystem where the market changes weekly and a finding that's interesting today is table stakes in a month. We move quickly, we work hard, and we care a great deal about being right.

We're hiring a Data Analyst to find the insights that drive our growth. You'll work directly with leadership on product and market strategy, shape how we make decisions as an engineering team, and influence how Merge presents itself to the world. If you want to dig into data no one has looked at, find the thing worth saying, and have your analysis be the reason we went left instead of right, this is the role.

What will you be doing?

  • Dig into our product, customer, and market data to find patterns worth acting on and raise questions before anyone else discovers them.

  • Work with engineering and design to build dashboards and frontend analytics that give customers a reliable view of what's happening in the product.

  • Partner with product marketing and sales to turn findings into campaigns, launch assets, and the numbers behind the pitch + the methodology to back them up.

  • Field requests from across the business and decide what warrants a deep dive, a quick pass or a later response.

  • Analyze product usage data (onboarding funnels, feature adoption, dashboard engagement) to identify opportunities to improve the customer journey.

  • Turn one-off analyses into repeatable internal tools and self-service resources so the next request is faster than the last.

What experience is required?

  • Degree in data science, computer science, statistics, or a similar quantitative field.

  • 2+ years in analytics, data science, insights, or a technical GTM / BizOps role.

  • Strong SQL. You write clean, structured queries on large datasets, and whether you wrote them yourself or an AI assistant did, you own the correctness of every result before it reaches a stakeholder.

  • Working knowledge of dbt. You'll use and extend existing models without needing to own a full warehouse build.

  • Working Python for analysis and automation, including AI-enabled workflows that reduce manual reporting overhead.

  • Writing that carries a finding. You can take an analysis and produce something a marketer, a seller, or a customer reads once and understands.

Nice to have

  • Experience at a B2B SaaS or developer tools company, or anywhere with a real data asset

  • Background working closely with product, marketing, sales, and/or revenue operations
  • Hands-on experience with product analytics tools like PostHog, Mixpanel, or Amplitude.
  • Familiarity with LLM and AI infrastructure data, or a genuine interest in learning it fast
Compensation

  • The cash compensation range for this role is $150,000-170,000

  • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation package.

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