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

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 ...

Eldorado CA

Master Scheduler

Riverside, CA · On-site

$95K - $110K/yr

Master Scheduler Location: Riverside, CA Salary Range: $95,000 - $110,000/year Job Summary: We are ... Perform advanced data analysis to identify bottlenecks, constraints, and risks; proactively ...

Pwc

Data Strategy-Senior Manager

Irvine, CA · On-site

$124K - $280K/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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$46

$80

How much do master data analyst jobs pay per hour?

As of May 28, 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 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 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.

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.

More about Master Data Analyst jobs
What are popular job titles related to Master Data Analyst jobs in Riverside, CA? For Master Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Master Data Analyst jobs in Riverside, CA look for? The top searched job categories for Master Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Master Data Analyst jobs? Cities near Riverside, CA with the most Master Data Analyst job openings:
Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Riverside, CA as of May 2026, with employment types broken down into 2% As Needed, 45% Full Time, 32% Part Time, 1% Temporary, 18% Contract, and 2% Nights. Highlights an 60% Physical, 10% Hybrid, and 30% Remote job distribution, with an average salary of $96,238 per year, or $46.3 per hour.
Senior Analyst, Data Analytics, Program Operations and Analytics

Senior Analyst, Data Analytics, Program Operations and Analytics

Edwards Lifesciences Corporation

Irvine, CA • On-site

$92.30K - $116.50K/yr

Full-time

Posted 20 days ago

Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

62nd of 511 rated manufacturers

Job description

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Senior Analyst, Data Analytics position is a unique career opportunity that could be your next step towards an exciting future.
Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and under-treated. Edwards' groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
This role is on-site full time in Irvine, California.
How you'll make an impact:
The Senior Analyst, Data Analytics works in the THV Program Operations and Analytics team within the PMO organization. The Senior Analyst manages end-to-end data pipelines and analytical models to deliver trusted, scalable analytics and reporting for portfolio, project, resource, and finance stakeholders. The role translates business needs into data requirements, builds automated ETL and semantic models, and advances organizational data maturity through strong data governance, quality, and standardization in support of operational execution.
  • Manage the complete data pipeline, from data intake, validation, mining, modeling, visualization, and reporting to end-user BI tools (e.g., Power BI).
  • Partner with team to develop new analyses; collaborate with and influence stakeholders/leadership through fact-based analyses, drive change, and develop solutions, with continued enhancements.
  • Design, develop, deploy, maintain, and enhance star-schema and semantic data models to support dashboards, reporting, and advanced analytics.
  • Work with PPM tool to support and identify incremental tables for reporting. Update ingestion to include new tables, update semantic model, update reports as requested by stakeholders.
  • Effective communication and listening skills to understand stakeholder needs and effectively problem solve to deliver and communicate complex analytical findings clearly and concisely.
  • Perform validation and testing of models to ensure adequacy and determine need for reformulation.
  • Build and maintain automated ETL processes to ensure consistent, scalable, and high-quality data delivery.
  • Partner with stakeholders to monitor and improve data quality through structured validation, governance, and standardization activities.
  • Other incidental duties.

What you'll need (Required):
  • Bachelor's Degree in related field and 5 years of experience or equivalent work experience based on Edwards criteria

What else we look for (Preferred)
  • Bachelor's Degree in related field and 7 years of experience or equivalent work experience based on Edwards criteria OR
  • Master's Degree or equivalent in related field and 5 years of experience or equivalent work experience based on Edwards criteria.

Technical Skills
  • Strong SQL skills and experience building automated data pipelines, including ETL/ELT development, Dataflow Gen2, and ingestion from enterprise systems such as PPM.
  • Proficiency in Power BI, including semantic modeling, DAX, star schema design, and applying row-level security (RLS).
  • Ability to design, maintain, and enhance scalable data models, dashboards, and analytics solutions across disparate data sources.
  • Familiarity with database-centric applications and integrating data from multiple operational systems.
  • Hands-on experience with Snowflake

Analytics & Problem Solving
  • Ability to develop, analyze, and validate analytical or statistical models to support business decision-making.
  • Strong analytical thinking with the ability to translate business questions into data requirements, data models, and reporting solutions.

Business & Communication Skills
  • Strong project management capabilities, including documenting data flows, business processes, and analytical requirements.
  • Excellent written and verbal communication skills, with the ability to clearly present complex findings to stakeholders and leaders across the organization.
  • Strong interpersonal and stakeholder management skills with the ability to influence, partner cross-functionally, and drive achievement of objectives.

Data Governance & Quality
  • Knowledge of data governance principles, including stewardship, data quality monitoring, standardization, and issue resolution.
  • Understanding of master data management concepts including domain/entity definitions, golden records (single source of truth), data matching, and data enrichment.
  • Commitment to maintaining data integrity through structured validation, adherence to processes, and continuous quality improvement.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA) the base pay range for this position is $92,000 to $130,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
COVID Vaccination Requirement
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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