Data Quality Analyst Jobs in California
Data Quality Analyst jobs in California are among the most active in the country, concentrated in technology, healthcare, financial services, and entertainment, with openings at every level from entry-level data associates through senior and lead analysts. The heaviest hiring is in San Francisco, Los Angeles, and San Diego, where companies like Salesforce, Kaiser Permanente, and Wells Fargo maintain large operations and consistently bring on data quality professionals. The most in-demand specialties right now are data governance, master data management, and clinical data quality for life sciences and healthcare systems. Find a role that fits below and apply directly.
Find Data Quality Analyst JobsOverview
Showing 5 of 197+ Data Quality Analyst jobs
ABOUT MONSTER ENERGY
Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A DAY IN THE LIFE
Unleash your potential as a Data Quality Analyst at Monster Energy, where you'll supercharge our data management process! Be the ultimate speedster in organizing and analyzing data for flawless, timely, and reliable reports that drive our epic business decisions. You'll be the first line of defense, training data analysts on all things new and shiny. Craft killer training materials like MU courses and presentations, and dive into massive data sets with your razor-sharp critical thinking. Master our reporting and data systems, making game-changing recommendations with a focus on volume reporting and call point management. As the data champion, guide business initiatives and mentor a powerhouse team of analysts, making a legendary impact on Monster Energy's data journey!
THE IMPACT YOU'LL MAKE
- Develop data quality and standards: These are based on analytical research to avoid similar problems in the future. These standards will include building data validation procedures, quality checks and profiling reports. Once created, it is their duty to ensure adherence to regulatory requirements, data governance and documentation workflows.
- Work with stakeholders and Customers: This could entail informing decision-makers about the implications of issues, working with data stewards to resolve data quality problems or creating educational resources to help other organization members and clients.
- Data Cleaning and Transformation: Extract, Transform and Load data. Cleanse and transform data to improve its quality and consistency. Implement data cleansing techniques such as standardization, normalization, and deduplication. Develop and execute data quality rules and scripts to automate data cleansing processes.
- Analyses data quality issues: When problems with data integrity are discovered the Data Quality Analyst will analyze and determine the root cause. This may involve working with other SMEs of the organization such as data stewards to understand how the data is collected, processed, and stored.
- Data Validation and verification: Validate data against business rules and industry standards. Verify data accuracy through cross-referencing. Implement data validating procedures to ensure data integrity.
- Identifying data quality issues: This entails using a variety of tools and techniques such as data profiling and cleansing. It is likely that they will work with other SMEs to develop metrics that can be used to measure the accuracy, completeness, and consistency of the data.
- Monitor data quality: This amounts to assessing and reviewing the data to ensure that it meets the organization's standards. This may involve developing and running tests or using dashboards to track the health of the data.
- Collaborate with other data professionals: To ensure that data quality is integrated across the entire data lifecycle, it is necessary for them to work closely with other professionals including data analysts and engineers. This may involve collaborating on data modelling and working with data architects to ensure that the structure and quality is considered during the designing and implementation of systems.
- Create and distribute ad-hoc reports, standard reports, and dashboards based on requestor's detailed requirements.
- Supports Leadership with ad-hoc assignments.
WHO YOU ARE
- Bachelor's Degree, preferably in statistics, computer science, or business administration
- 3-5 years experience of in-depth analytical and use of reporting tools with large data sets.
- 3-5 years of experience in related role.
- Proficient in MS Office with highly developed skills in Excel.
- Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information.
- Proficiency in Python, SQL and power BI.
- Ability to use and learn a variety of query and reporting tools
- Ability to respond to requests accurately and in a timely manner
- Ability to identify issues within highly detailed data
- Ability to develop a solution and/or business process
- Effective interpersonal and communication skills
- Highly effective analytical and problem-solving skills - Sees multiple relationships between different sources of data, identifying several likely causes or consequences of a situation.
- Thorough understanding of Big Data Analytics and processes.
- High degree of accuracy and attention to detail.
- Ability to work in group dynamics and stand out during individual projects
- Good time management skills
- Strong multi-tasking abilities
COMPENSATION
- This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
ABOUT MONSTER ENERGY
Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A DAY IN THE LIFE
Unleash your potential as a Data Quality Analyst at Monster Energy, where you'll supercharge our data management process! Be the ultimate speedster in organizing and analyzing data for flawless, timely, and reliable reports that drive our epic business decisions. You'll be the first line of defense, training data analysts on all things new and shiny. Craft killer training materials like MU courses and presentations, and dive into massive data sets with your razor-sharp critical thinking. Master our reporting and data systems, making game-changing recommendations with a focus on volume reporting and call point management. As the data champion, guide business initiatives and mentor a powerhouse team of analysts, making a legendary impact on Monster Energy's data journey!
THE IMPACT YOU'LL MAKE
- Develop data quality and standards: These are based on analytical research to avoid similar problems in the future. These standards will include building data validation procedures, quality checks and profiling reports. Once created, it is their duty to ensure adherence to regulatory requirements, data governance and documentation workflows.
- Work with stakeholders and Customers: This could entail informing decision-makers about the implications of issues, working with data stewards to resolve data quality problems or creating educational resources to help other organization members and clients.
- Data Cleaning and Transformation: Extract, Transform and Load data. Cleanse and transform data to improve its quality and consistency. Implement data cleansing techniques such as standardization, normalization, and deduplication. Develop and execute data quality rules and scripts to automate data cleansing processes.
- Analyses data quality issues: When problems with data integrity are discovered the Data Quality Analyst will analyze and determine the root cause. This may involve working with other SMEs of the organization such as data stewards to understand how the data is collected, processed, and stored.
- Data Validation and verification: Validate data against business rules and industry standards. Verify data accuracy through cross-referencing. Implement data validating procedures to ensure data integrity.
- Identifying data quality issues: This entails using a variety of tools and techniques such as data profiling and cleansing. It is likely that they will work with other SMEs to develop metrics that can be used to measure the accuracy, completeness, and consistency of the data.
- Monitor data quality: This amounts to assessing and reviewing the data to ensure that it meets the organization's standards. This may involve developing and running tests or using dashboards to track the health of the data.
- Collaborate with other data professionals: To ensure that data quality is integrated across the entire data lifecycle, it is necessary for them to work closely with other professionals including data analysts and engineers. This may involve collaborating on data modelling and working with data architects to ensure that the structure and quality is considered during the designing and implementation of systems.
- Create and distribute ad-hoc reports, standard reports, and dashboards based on requestor's detailed requirements.
- Supports Leadership with ad-hoc assignments.
WHO YOU ARE
- Bachelor's Degree, preferably in statistics, computer science, or business administration
- 3-5 years experience of in-depth analytical and use of reporting tools with large data sets.
- 3-5 years of experience in related role.
- Proficient in MS Office with highly developed skills in Excel.
- Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information.
- Proficiency in Python, SQL and power BI.
- Ability to use and learn a variety of query and reporting tools
- Ability to respond to requests accurately and in a timely manner
- Ability to identify issues within highly detailed data
- Ability to develop a solution and/or business process
- Effective interpersonal and communication skills
- Highly effective analytical and problem-solving skills - Sees multiple relationships between different sources of data, identifying several likely causes or consequences of a situation.
- Thorough understanding of Big Data Analytics and processes.
- High degree of accuracy and attention to detail.
- Ability to work in group dynamics and stand out during individual projects
- Good time management skills
- Strong multi-tasking abilities
COMPENSATION
- This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
See All 197+ Data Quality Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Quality Analyst JobsData Quality Analyst Jobs by City in California
Where California roles are concentrated, by current openings.
Data Quality Analyst Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple35
- NVIDIA5
- PlayStation5
- SanDisk4
- Zoox4
Top Industries Hiring
- Technology & Software66
- Electronics & Hardware60
- Consulting & Professional Services9
- Banking & Financial Services7
- Biotechnology & Pharmaceuticals7
What California Employers Look For
The qualifications that appear most often in data quality analyst jobs across California.
- Bachelor's degree in computer science, information systems, or a related field
- Proficiency in SQL and experience querying and validating large relational databases
- Hands-on experience with data quality tools such as Informatica, Talend, or Collibra
- Familiarity with data governance frameworks and metadata management practices
- Experience writing test cases, data validation scripts, or quality audit documentation
- Strong communication skills for collaborating with engineering and business stakeholders
Data Quality Analyst Jobs in California: Frequently Asked Questions
How do you become a data quality analyst in California?
A bachelor's degree in computer science, information systems, statistics, or a related field is the standard entry point for data quality analyst roles in California. There is no state-issued license required to work in the role. California employers, particularly in technology and healthcare, value hands-on SQL proficiency, familiarity with tools like Informatica or Collibra, and demonstrated experience with data validation or governance work, whether from internships, academic projects, or adjacent roles.
How much do data quality analysts make in California?
Data quality analysts in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data quality analysts in California?
Employers hiring data quality analysts in California right now include Apple, NVIDIA, and PlayStation, based on current listings on Migrate Mate as of June 2026. California's concentration of major technology firms, large health systems, and financial institutions means demand for data quality professionals is distributed across multiple industries statewide.
Which California cities have the most data quality analyst jobs?
San Francisco, Santa Clara, and Sunnyvale have the most data quality analyst openings in California. San Francisco and the broader Bay Area lead because of the density of technology and fintech companies headquartered there, while Los Angeles draws demand from entertainment, media, and healthcare organizations, and San Diego's growing life sciences and biotech cluster drives consistent openings in clinical and research data quality roles.
Are there remote data quality analyst jobs in California?
Yes, and more than most fields. Data quality analysis is primarily a desk and systems-based role, which makes it well suited to remote and hybrid arrangements. About 16% of data quality analyst openings tied to California are remote or hybrid as of June 2026, reflecting how broadly tech and healthcare employers in the state have adopted flexible work. Roles focused on data governance, metadata management, and pipeline validation tend to be the most consistently remote.
How can I get hired as a data quality analyst in California with little or no experience?
The most realistic entry path is moving laterally from a business analyst, QA analyst, or data entry role where you already work with structured data. California's large technology companies and health systems, including those in the Bay Area and Los Angeles, regularly post associate or junior data analyst positions that do not require prior data quality titles. Building a portfolio of SQL queries, validation scripts, or a small data-cleaning project demonstrates practical ability. Completing a certification in data management, such as a CDMP associate credential, also gives early-career candidates a concrete differentiator for California listings.
Where can I find and apply to data quality analyst jobs in California?
You can find and apply to data quality analyst jobs in California on Migrate Mate, which lists current California openings across industries. Find the roles that fit your experience and apply directly from each listing.
See All 197+ Data Quality Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Quality Analyst Jobs