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Research Assistant Data Analyst Jobs in California

Research Assistant

Fresno, CA · On-site

$16.53 - $19.92/hr

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

Research Assistant

Fresno, CA · On-site

$16.53 - $19.92/hr

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

Research Assistant

Seeley, CA · On-site

$19.50 - $26.75/hr

Under the supervision of the Principal Investigator and Project Manager, the Research Assistant I ... Aids in the development of reports, grants, presentations, and data analysis. Assists with ...

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... data, train or fine‑tune models, evaluate them in the real world, analyze results, and repeat.

Research Assistant

San Mateo, CA · On-site

$60 - $80/hr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... data, train or fine‑tune models, evaluate them in the real world, analyze results, and repeat.

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us better understand how players engage with our games. In this role, you'll work closely with Sony Game ...

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us better understand how players engage with our games. In this role, you'll work closely with Sony Game ...

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Research Assistant Data Analyst information

See California salary details

$27.6K

$70.7K

$135.2K

How much do research assistant data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for research assistant data analyst in California is $70,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $82,400.00 per year, depending on experience, location, and employer.

What does a research assistant data analyst do?

A Research Assistant Data Analyst supports research projects by collecting, cleaning, analyzing, and interpreting data. They work closely with researchers to help design studies, manage datasets, perform statistical analyses, and visualize results. Their work helps ensure the accuracy and reliability of research findings, often contributing to publications and presentations. They may use software tools like Excel, SPSS, R, or Python to perform their tasks.

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

Research Assistant Data Analysts often encounter challenges such as managing data quality, dealing with incomplete or inconsistent data, and ensuring data privacy. To address these issues, analysts use data cleaning techniques, standardized protocols, and collaborate closely with principal investigators or data engineers. They also frequently utilize specialized software and scripting languages to automate repetitive tasks and maintain data integrity. Open communication within the research team is essential to clarify data discrepancies and ensure accurate analysis.

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

To thrive as a Research Assistant Data Analyst, you need a solid background in statistics, data management, and analytical methods, often supported by a relevant degree in fields like statistics, computer science, or social sciences. Familiarity with statistical software (such as SPSS, R, or Python), data visualization tools, and database systems is typically required. Attention to detail, critical thinking, and strong communication skills help in interpreting results and collaborating effectively with research teams. These skills are crucial for accurately analyzing data, generating insights, and supporting evidence-based decision-making in research projects.

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

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

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

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

What cities in California are hiring for Research Assistant Data Analyst jobs?

Cities in California with the most Research Assistant Data Analyst job openings:

Infographic showing various Research Assistant 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 $70,734 per year, or $34 per hour.

Indicators Economic Data Analyst

Stanfordlivetickets

Palo Alto, CA • On-site

$100 - $125/hr

Other

Posted 2 days ago

New


Job description

Business Title: Indicators Economic Data AnalystExemption: ExemptWORK SCHEDULE:
  • Work Schedule: Hybrid work arrangement with at least 2 days per week on-site.
BUDGETED SALARY:

$91,644-$123,000

SCHOOL/UNIT DESCRIPTION:

The Stanford Digital Economy Lab conducts groundbreaking research on the impact of the digital economy. We bring together an interdisciplinary group of researchers to study how digital technologies are transforming work, organizations, and the economy. Our insights help companies, policymakers, students, and professionals respond to the opportunities and challenges created by digitization. The Lab is part of the Stanford Institute for Human-Centered Artificial Intelligence and is co-sponsored by the Stanford Institute for Economic Policy Research.

POSITION SUMMARY:

The Stanford Digital Economy Lab is seeking an Economic Data Analyst to perform complex technical and analytical work supporting Indicators, the Lab's public-facing platform for measuring the economic impact of artificial intelligence. Reporting to the Research Manager for Indicators, this position will query and integrate structured economic and labor-market data, independently produce standard and custom reports, devise methods for identifying patterns and trends, build non-routine analytical databases, and create publication-ready metrics and visualizations with minimal supervision.

The Economic Data Analyst will clean, validate, integrate, and document data from sources including ADP, the U.S. Census Bureau, job-posting providers, government agencies, surveys, and public repositories. The analyst will create analysis-ready relational tables, longitudinal datasets, derived indicators, data dictionaries, quality-control summaries, reports, charts, dashboards, and approved data extracts. The position will also develop and evaluate algorithms and statistical models related to AI adoption and exposure, employment, wages, occupations, industries, and skills demand; recommend improvements to data collection and reporting; respond to non-routine analytical and survey requests; implement data standards and common metric definitions; and test prototype pipelines, APIs, calculations, database changes, and visualizations for release readiness.

The successful candidate will work closely with economists, faculty, research scientists, postdoctoral scholars, graduate research assistants, data providers, engineers, designers, communications teams, and other Stanford partners. The role requires strong technical judgment, careful documentation, and the ability to translate complex findings into trustworthy information for academic, policy, industry, media, and public audiences.

This fixed-term position (3 years, renewable)

PREFERRED/DESIRED QUALIFICATIONS:
  • Bachelor's degree and three years of relevant experience, or a combination of education and relevant experience, in a quantitative discipline such as economics, finance, statistics, computer science, data science, or engineering.
  • Strong SQL and Python skills; experience with R, cloud environments such as Google Cloud, Git-based version control, APIs, and visualization or business-intelligence tools is preferred.
  • Experience working with large economic or labor-market datasets, including restricted, licensed, or confidential data.
  • Knowledge of econometrics, data analysis, data visualization, reproducible research, and artificial intelligence measurement.
  • Excellent analytical, organizational, written, and oral communication skills; ability to complete detailed work accurately under deadlines with minimal supervision.
  • Creative, independent problem-solving skills and the ability to collaborate with researchers and technical partners from diverse backgrounds.
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