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Computer Data Analyst Jobs in California (NOW HIRING)

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

Data Analyst

Glendale, CA

$97.50K - $130.70K/yr

Mathematics, Computer Science, Information Systems, Business Management, Economics * Minimum of 3 years of experience in a data analysis or in management consulting, demonstrating strong analytical ...

Data Analyst

Los Osos, CA · On-site

$33.67 - $43.77/hr

... Computer Science, Bachelor's Degree in Industrial Engineering, or equivalent. * 3 years of ... on data analytics projects involving the use of various programming languages and database ...

Carlsbad, CA Duration: 6 Months • Strong data analysis and data profiling skills • Strong ... computer science or information systems (or equivalent experience) • Effective oral and written ...

Data Analyst

Los Osos, CA · On-site

$33.67 - $43.77/hr

... Computer Science, Bachelor's Degree in Industrial Engineering, or equivalent. * 3 years of ... on data analytics projects involving the use of various programming languages and database ...

Senior Data Analyst

Pomona, CA · On-site

$86.40K - $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 ...

Senior Data Analyst

Pomona, CA · Hybrid

$86.40K - $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 ...

Senior Data Analyst

Pomona, CA · On-site

$86.40K - $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 ...

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

$75K - $115.01K/yr

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 ...

Data Analyst II

Rancho Cordova, CA · On-site

$25 - $27.06/hr

SKILLS • Data analysisData entry • Computer proficiency • PowerPoint • Publisher • Word • Excel • Decision-making • Self-discipline • Organization • Communication • Stress ...

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 ...

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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 May 30, 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 job?

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 in the Computer Data Analyst position, and why are they important?

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.
Infographic showing various Computer Data Analyst job openings in California as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 2 days ago


Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Duties:

  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues

  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data

  • Source origins of data inaccuracies through data pipeline dependencies and python code base

  • Define data validation tests to flag future game errors

  • Research accurate roster active statuses, primary positions and game participation

  • Validate data changes after logic updates

  • Production model feature deep dives to explain project market lines

  • Clearly document findings

  • Develop intimate familiarity with existing databases and construct metadata references

  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:

  • Bachelor's Degree in Computer Science, Data Science or similar major

  • Minimum of 1 year of experience in football data analysis

  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios

  • Data Extraction, Wrangling and Analysis in Python

  • Strong SQL querying skills

  • Attention to detail

Preferred:

  • Strong Python data management programming skills

  • Data Visualization experience with a user application like Streamlit

  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis

  • Exposure to the data science process and tech stack

  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.