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Computer Data Analyst Jobs in California (NOW HIRING)

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field. * Zero to two years of experience in data analysis or a ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. * Minimum of 5 years of experience in data analysis, preferably in a project management or business ...

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or ... Manage standard, routine data analysis projects with limited supervision from initial request to ...

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or ... Work with other Data Management Analysts to process data, analyze data and report findings.

Sr Data Analyst

Santa Monica, CA · On-site

$96K - $121K/yr

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field * 5+ years of experience in data analytics, including 2+ years at a senior level

New

Sr Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field * 5+ years of experience in data analytics, including 2+ years at a senior level

New

As a data analyst, you will be responsible for compiling actionable insights from data and ... Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years ...

Field Data Analyst

Irvine, CA · On-site

$75 - $115/hr

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. * Experience: 0-2 years of experience in a data analysis role or a related internship.

Bachelor's degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field Strong analytical and problem-solving skills with attention to ...

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

Data Analyst I

Cupertino, CA · On-site

$35 - $40/hr

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Proficiency in data analysis tools such as Excel, SQL, or Python. Strong problem-solving and critical-thinking ...

New

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us ... Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Psychology ...

... Computer Science, Engineering, Business Analytics, or a related field • Strong analytical and problem-solving skills with attention to detail • Familiarity with Excel and/or data visualization ...

Data Analyst I

Cupertino, CA · On-site

$35 - $40/hr

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * Proficiency in data analysis tools such as Excel, SQL, or Python. * Strong problem-solving and critical-thinking ...

New

Showing results 41-60

Computer Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do computer data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer 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 is a computer data analyst?

A Computer Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They work with large datasets, use statistical methods, and create reports or visualizations to identify trends and patterns. Analysts often use tools like SQL, Python, Excel, and data visualization software to transform raw data into actionable insights. Their role is essential in various industries, including finance, healthcare, marketing, and technology.

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

To thrive as a Computer Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms (like Tableau or Power BI), as well as relevant certifications, is typically expected. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings effectively make candidates stand out in this role. These skills are vital for accurately analyzing large data sets, generating actionable insights, and supporting data-driven decision-making within organizations.

What typical career growth opportunities are available for a computer data analyst?

Computer Data Analysts often have multiple paths for career advancement, including moving into senior analyst positions, data science roles, or management tracks such as Data Analytics Manager or Business Intelligence Lead. As you gain experience, you may also specialize in niche areas like machine learning, big data engineering, or industry-specific analytics (e.g., healthcare or finance). Many organizations support ongoing training and certification to help analysts stay current with emerging tools and trends. Strong performance and the ability to deliver impactful insights can lead to higher-level responsibilities and leadership opportunities within analytics teams.

Can I become a computer data analyst with no experience?

Computer data analysts typically need some background in data analysis, statistics, or related fields, but entry-level positions may be available to those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing training courses can help compensate for lack of experience and improve job prospects.

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 strong job growth prospects.

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

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

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

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

Infographic showing various Computer 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 $81,558 per year, or $39.2 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Martenson, Hasbrouck & Simon LLP is seeking a full-time experienced Data Analyst to join the Firm’s data analytics team in Orange County. The Data Analyst will develop and execute analyses that address complex legal and business questions, identify meaningful patterns and issues in data, and support the development of data-driven recommendations and strategies.

This role goes beyond traditional litigation support and requires an analyst who can independently work with large and complex datasets, identify meaningful trends and issues, develop analytical methodologies, build reporting and visualization solutions, and clearly communicate findings to both technical and non-technical audiences. The ideal candidate combines strong quantitative and technical skills with intellectual curiosity, sound judgment, and the ability to understand the business and legal questions underlying an analysis. This position will report to the Senior Data Analyst and work as part of the Firm’s broader data analytics function.

Martenson, Hasbrouck & Simon LLP is a national law firm focusing on labor and employment defense. MHS is headquartered in Atlanta, Georgia, and has over 80 attorneys across seven offices located in Atlanta, Chicago, Dallas, New York, Orange County, Sacramento, and San Diego. Our attorneys work with some of the largest employers in the United States and have extensive experience providing day-to-day employment-related advice and defending clients facing a wide range of labor and employment claims.

Key Responsibilities:

  • Collect, clean, integrate, analyze, and validate large and complex datasets from a variety of sources.
  • Use SQL and Python to query, transform, reconcile, and analyze data and develop repeatable analytical workflows.
  • Design and develop interactive dashboards, reports, and data visualizations in Power BI to communicate key findings, trends, and metrics.
  • Translate legal, business, and operational questions into appropriate analytical approaches in collaboration with attorneys and the data analytics team.
  • Develop analytical methodologies and models to evaluate potential exposure, damages, trends, patterns, and other issues relevant to litigation and client decision-making.
  • Investigate data anomalies, identify gaps or limitations in available information, and reconcile discrepancies across multiple data sources.
  • Analyze employment-related data, including timekeeping, payroll, HRIS, scheduling, and other operational systems, in connection with wage and hour and other employment matters.
  • Support analyses involving class certification, damages, sampling, pay practices, timekeeping practices, and other litigation-related issues as needed.
  • Develop clear, defensible approaches for working with incomplete, inconsistent, or complex datasets and document analytical assumptions, processes, and findings.
  • Identify opportunities to improve, automate, and standardize existing analytical and reporting processes.
  • Prepare clear written summaries, presentations, dashboards, and other deliverables that effectively communicate analytical findings and support attorney and client decision-making.
  • Manage analytical work across multiple matters, balancing competing deadlines and shifting priorities while exercising independent judgment regarding analytical approach and execution.

Martenson, Hasbrouck & Simon LLP offers a competitive benefits package that includes:

  • Competitive salary
  • Year-end bonus
  • 401(k) with employer contributions
  • Medical, dental, and vision insurance
  • Paid time off
  • Referral bonus program

Salary Range: $75,000 - $95,000 depending on experience.

Martenson, Hasbrouck & Simon LLP is an equal opportunity employer.

  • Bachelor’s degree in data analytics, data science, statistics, economics, computer science, mathematics, or another quantitative or analytical discipline.
  • 3+ years of relevant experience.
  • Strong proficiency in SQL and Python, including experience using both to manipulate, analyze, and validate complex datasets.
  • Strong proficiency with Power BI or comparable business intelligence and data visualization tools, with Power BI experience strongly preferred.
  • Experience working with relational databases and combining information from multiple data sources.
  • Demonstrated ability to work independently with large, complex, incomplete, or imperfect datasets and determine appropriate approaches for addressing data limitations.
  • Strong analytical and problem-solving skills, including the ability to move from an open-ended question to a structured and defensible analytical approach.
  • Ability to identify patterns, anomalies, inconsistencies, and other meaningful findings within complex datasets.
  • Familiarity with AI and generative AI tools, including the ability to thoughtfully incorporate them into analytical, research, and workflow automation processes while appropriately evaluating outputs for accuracy and reliability.
  • Strong written and verbal communication skills, including the ability to explain technical findings clearly to non-technical audiences.
  • Excellent organizational and project-management skills, with the ability to manage multiple projects, competing deadlines, and shifting priorities.
  • High degree of professionalism, discretion, initiative, and independent judgment, particularly when working with confidential or sensitive information.
  • Prior experience in a law firm, litigation support, consulting, or other professional-services environment is preferred but not required.
  • Familiarity with employment data or wage and hour concepts—including payroll, timekeeping, overtime, meal/rest periods, regular rate, rounding, and related issues—is helpful but not required.