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Master Data Analyst Jobs in California (NOW HIRING)

As the Master Data Analyst for Cervelo, you will be the single point of ownership for all master data. This is a critical role responsible for ensuring the integrity and quality of the data that ...

Master Data Analyst

Commerce, CA · On-site

$20 - $22.75/hr

The Master Data Analyst manages oversight of key items and vendor settings for proper item management across all business systems, including Management of the item database keeping it as clean and as ...

Function as the primary point of contact for the day-to-day execution of data management tasks, answering inquiries, resolving data discrepancies, and providing analytical insights. * Perform master ...

This manager must collaborate with the central Data & Analytics team as well as Master Data owners across the operating companies to enable accuracy and compliance. This role combines people ...

This manager must collaborate with the central Data & Analytics team as well as Master Data owners across the operating companies to enable accuracy and compliance. This role combines people ...

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Master Data Manager

Anaheim, CA · On-site

$150K - $190K/yr

Master Data Manager (hands-on) Status: Exempt, Full-time Location: Anaheim, CA Work Schedule ... Lead root cause analysis for recurring data issues * Own selection, implementation, and ...

Lead business analysis for master data management initiatives focused on Agile PLM, SAP S/4HANA, and SAP MDG. * Collaborate with business and IT stakeholders to define data governance processes ...

The Master Data Planner position is a new role responsible for master data management and data ... Strong Excel skills for data analysis (e.g. Pivot Tables) Qualifications We Prefer * Aerospace ...

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Master Data Analyst information

See California salary details

$19

$43

$75

How much do master data analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for master data analyst in California is $43.77, according to ZipRecruiter salary data. Most workers in this role earn between $30.14 and $54.57 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

What are the key skills and qualifications needed to thrive as a Master Data Analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What cities in California are hiring for Master Data Analyst jobs? Cities in California with the most Master Data Analyst job openings:
What are popular job titles related to Master Data Analyst jobs in CA? For Master Data Analyst jobs in CA, the most frequently searched job titles are:
Infographic showing various Master Data Analyst job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $91,039 per year, or $43.8 per hour.

Full-time

Re-posted 10 days ago


Job description

ABOUT US:
Cervelo exists to Make Riders Faster. You'll see our bikes on the road, on the trail, and under some of the most elite athletes in the world. We're a small group of passionate riders, dedicated to delivering the best bikes in the world. It's not all CAD and wind tunnel time, though, we're headquartered in Aliso Viejo, California, a sweet corner of Orange County where you can ride on and off road year-round. Cervelo bikes have won all three Grand Tours (the first bike brand in history to do so), our ambitions have never been higher, and we're looking for talented, driven people to join our team.


ABOUT YOU:

As the Master Data Analyst for Cervelo, you will be the single point of ownership for all master data. This is a critical role responsible for ensuring the integrity and quality of the data that drives our business operations. You will report to the Business Systems Analyst and be a key player in shaping the company's data strategy.


WHAT DOES YOUR DAY LOOKS LIKE:

  • Manage the full lifecycle of master data within ERP systems, ensuring accuracy, completeness, and consistency.

  • Collaborate cross-functionally with product, sales, finance, operations, and IT teams to ensure alignment, understanding and adherence to data governance processes.

  • Assist global markets in adhering to PON.BIKE data governance standards and maintain Cervelo master data accuracy.

  • Proactively audit data quality and identify opportunities for improvement, working with cross-functional business teams to resolve discrepancies and enhance data accuracy.

  • Act as a subject matter expert on master data, providing support and training to end-users and communicating technical data concepts in a clear, understandable way.

  • Lead data-related projects and initiatives, demonstrating the ability to drive change and build consensus with stakeholders and business users without direct authority.

  • Contribute to the continuous improvement of data management processes and tools.

WHAT YOU BRING TO THE TABLE:

  • Bachelor's degree in Business Administration, Supply Chain Management, Information Systems, or a related field.

  • Minimum of 1-3 years of experience in a similar role within the consumer goods industry or another data-driven environment.

  • Proven experience in a data-focused role, with a strong understanding of master data concepts and best practices.

  • Demonstrated knowledge of SAP or another enterprise resource planning (ERP) system.

  • Strong analytical skills with attention to detail and accuracy.

  • Excellent written and verbal communication skills to effectively liaise with different teams.

  • Proficiency in Google Sheets/Microsoft Excel and other data management/visualization tools such as PowerBI.

  • Familiarity with data governance best practices and standards.

  • Highly organized, self-motivated, and detail-oriented, with a proactive approach to problem-solving.

  • A strong desire to take ownership and lead initiatives, driving results and influencing others through collaboration.


LANGUAGE SKILLS: Ability to read and comprehend and explain documents such as safety rules, operating and maintenance instructions, and procedure manuals in English. Effectively communicating, verbally and in writing, in English and fluency in another language is a plus.

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the overall duties and responsibilities of this job.

SALARY RANGE: This compensation package will be dependent on experience, qualifications, industry experience and the interview with a potential range between $73,000-$80,000.


Reasonable accommodations may be made to enable otherwise qualified individuals with disabilities to perform the overall duties and responsibilities. While performing the duties of this job, the employee is regularly required to stand, walk, use of hands and fingers, handle, or feel, reach above head with hands and arms, lift, push, climb, stoop, kneel, crouch, and/or crawl, pull, talk and hear. The employee must lift and/or move up to 50 pounds. Vision may be corrected within normal range. The noise level in the work environment is moderate.