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Master Data Analyst Jobs in Riverside, CA (NOW HIRING)

OSTechnical

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 ...

Monster Energy

Product Master Steward Temp to Hire

Corona, CA · On-site

$15.50 - $21.25/hr

Participate in root cause analysis for recurring data issues, adhere to enterprise standards and ... Coordinate with Product Master Attributes Lead for organizational, reporting field alignment

IEHP

Data Governance Analyst

Rancho Cucamonga, CA · On-site

... and master data management concepts • Familiarity with healthcare data standards (e.g., HL7, ICD-10, CPT) and regulatory frameworks (e.g., HIPAA, CMS) • Strong analysis and critical thinking ...

Pwc

Data Strategy-Manager

Irvine, CA · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Pwc

Data Governance- Manager

Irvine, CA · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Riverside, CA

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How much do master data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for master data analyst in Riverside, CA is $46.27, according to ZipRecruiter salary data. Most workers in this role earn between $31.83 and $57.69 per hour, depending on experience, location, and employer.

What is a master data analyst?

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.

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.

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.

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 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 jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.
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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,238 per year, or $46.3 per hour.

Master Data Manager

OSTechnical

Anaheim, CA • On-site

$150K - $190K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday

Job description

                                                    

Job Title: Master Data Manager (hands-on)

Status: Exempt, Full-time

Location: Anaheim, CA

Work Schedule: Hybrid


Position Summary: Lead the enterprise Master Data Management (MDM) function to ensure trusted, governed, and business-aligned data across ERP, MES, PLM, CRM, and supporting systems. This role is accountable for enabling operational efficiency, supply chain accuracy, financial integrity, and regulatory compliance through high-quality master data.


Responsibilities:

  • Define and operationalize enterprise data governance framework
  • Establish and lead data stewardship council across business functions
  • Assign and enforce data ownership and accountability by domain
  • Develop and maintain data dictionaries, standards, and business rules
  • Ensure alignment between IT governance and business process ownership
  • Own and continuously improve data quality KPIs (accuracy, completeness, consistency, timeliness)
  • Implement data profiling, monitoring, and remediation processes
  • Lead root cause analysis for recurring data issues
  • Own selection, implementation, and optimization of MDM platforms/tools
  • Define system-of-record architecture across ERP, MES, CRM
  • Ensure synchronization and integrity of master data across systems
  • Support ERP/MES upgrades and transformations with strong data governance
  • Partner with business leaders to embed data accountability into operations
  • Lead remediation of audit findings related to master data
  • Reduce operational and financial risk caused by data errors
  • Define and publish enterprise data quality dashboards
  • Partner with BI/analytics teams to improve reporting accuracy


Experience

  • 7–10+ years in Master Data Management, Data Governance, or Data Stewardship
  • Strong experience in manufacturing environments
  • Deep expertise in ERP systems (e.g., SAP, Oracle, Infor, Epicor)
  • Experience integrating ERP with MES, PLM, and CRM systems


Technical Skills

  • SQL and data analysis tools
  • Experience with MDM platforms (e.g., Informatica, IBM, SAP MDG, Profisee, etc.)
  • Data quality tools and profiling techniques
  • Understanding of data architecture and system integration


Nice-to-Have

  • Experience supporting ERP transformations or carve-outs
  • Certification in Data Management (e.g., DAMA CDMP)