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Statistical Data Analyst Jobs in California (NOW HIRING)

Master's degree in data science, Statistics, Computer Science, Economics, or a related field. * 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. * Proven ability ...

On the whole your going to be a passionate player in using statistical tools and positive attitude ... You are powerful in data science, business reporting, and statistical analysis. * You are ...

Proven statistical analytical skills Familiarity with data warehousing concepts and ETL (extract, transform, and load) processes. Knowledge of database design and management principles. Experience ...

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... statistics or a related field. A master's degree is preferred. • Proficiency in SQL and ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... statistics or a related field. A master's degree is preferred. • Proficiency in SQL and ...

Data Analyst

Vallejo, CA · On-site

$60K - $74K/yr

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in ... statistics or a related field. A master's degree is preferred. • Proficiency in SQL and ...

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

... statistical/ML tools (e.g., JMP). * Provided essential analytics support for service sales ... Formed a data and analytics steering committee to establish data governance and standardize key ...

Sr Data Analyst

Santa Monica, CA

$96K - $121K/yr

Job Posting Title: Sr Data Analyst Req ID: 10157869 The Product & Tech Analytics team is seeking a ... Apply advanced techniques (statistical modeling, experimentation, causal inference) to user ...

New

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

Analyze data using various statistical tools to develop ad hoc reports, statistics, trends and profiles. Develop and communicate clear, concise and actionable data analyses for clients. Nice to Have:

Sr Data Analyst

San Francisco, CA

$101K - $127K/yr

Job Posting Title: Sr Data Analyst Req ID: 10157869 The Product & Tech Analytics team is seeking a ... Apply advanced techniques (statistical modeling, experimentation, causal inference) to user ...

New

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 ...

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

Analyze data using various statistical tools to develop ad hoc reports, statistics, trends and profiles. * Develop and communicate clear, concise and actionable data analyses for clients. Nice to ...

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Utilize statistical tools and methodologies to interpret data and create meaningful reports that ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Utilize statistical tools and methodologies to interpret data and create meaningful reports that ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Utilize statistical tools and methodologies to interpret data and create meaningful reports that ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Showing results 21-40

Statistical Data Analyst information

See California salary details

$29.6K

$69.5K

$116K

How much do statistical data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical data analyst in California is $69,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $79,900.00 per year, depending on experience, location, and employer.

What does a statistical data analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What are some common challenges statistical data analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

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

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

Infographic showing various Statistical Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,528 per year, or $33.4 per hour.

Data Analyst

1 point system

Sunnyvale, CA • On-site

Contractor

Re-posted 10 days ago


Job description

Qualifications
• Master’s degree in data science, Statistics, Computer Science, Economics, or a related field.
• 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics.
• Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
• Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
• Strong experience with Python or R for data analysis, modeling, and automation.
• Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
• Experience with A/B testing, experimentation frameworks, and causal inference techniques.
• Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
• Excellent communication skills with the ability to translate complex data into actionable insights.