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Quantitative Data Analyst Jobs in California (NOW HIRING)

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Strong background in quantitative analysis (e.g., statistics, finance, mathematics or economics)

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

Santa Clara, CA · On-site

$80 - $110/hr

Proven analytical and quantitative skills with an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses * Knowledge of fundamental ...

By means of data visualization, statistical analysis, and reporting, you will directly engage ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

... quantitative analysis * Strong analytical instincts -- comfortable turning unstructured data into ... clear, actionable outputs and solving problems creatively; proficiency in Excel or Numbers required ...

The Analyst will report to the Manager Consumer Data & Advanced Analytics and will be located in ... Quantitative Methods * Knowledge of descriptive statistical measures * Knowledge of consumer ...

Consumer Data Analyst

El Segundo, CA · On-site

$85 - $120/hr

The Analyst will report to the Manager Consumer Data & Advanced Analytics and will be located in ... Quantitative Methods * Knowledge of descriptive statistical measures * Knowledge of consumer ...

The Analyst will report to the Manager Consumer Data & Advanced Analytics and will be located in ... Quantitative Methods * Knowledge of descriptive statistical measures * Knowledge of consumer ...

The Analyst will report to the Manager Consumer Data & Advanced Analytics and will be located in ... Quantitative Methods * Knowledge of descriptive statistical measures * Knowledge of consumer ...

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... quantitative or qualitative analyses addressing meaningful business concerns and inquiries.

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... quantitative or qualitative analyses addressing meaningful business concerns and inquiries.

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... quantitative or qualitative analyses addressing meaningful business concerns and inquiries.

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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 Aug 27, 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:

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.

Technical Quantitative Data Analyst

Mountain View, CA • On-site

Other

This job post has expired 6 days ago. Applications are no longer accepted.


Job description

Technical Data Analyst

12 Months Contract

Mountain View, CA

  • 5+ years of work experience involvingquantitative data analysis 
  • Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) or equivalent experience
  • Advanced SQL skills to get the data you need from a data warehouse and perform data segmentation and aggregation from scratch. 
  • Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing) 
  • Familiarity with AWS (Redshift, Athena, and AWS core concepts) 
  • Familiarity with Data modeling and schema design 
  • Proficient in analytical and data modeling tools, such as Python, R, or PyCharm 
  • Self-starter who attacks the problem with excellent critical-thinking skills, creativity, and end-to-end quantitative and qualitative analysis 
  • Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders 
  • High level of professionalism, passion, strong organization, time management and task prioritization skills with attention to detail and bias to action 
  • Inquisitive, curious, and bias towards learning and continuous improvement 
  • Ability to grasp quickly and get up to speed on instrumentation, clickstream data, data architecture, and complex business system interactions such as Salesforce, Amazon Connect, EWFM preferred
  • Ability to operate effectively in a fast-paced environment with minimal hand-holding. Demonstrates strong self-directed learning—able to get up to speed by digging into documentation, conducting independent research, and proactively reaching out across teams to ask the right questions and drive clarity."