ZipRecruiter

Log In

1

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

Yum

Sr Business Intelligence Data Analyst I

Irvine, CA · On-site

A master's degree and Power BI certification are a plus. * 8+ years of Industry experience in a business intelligence data analyst and report developer role. * 5+ years of solid hands-on experience ...

Staffingine LLC

Data Testing Manager

Irvine, CA · On-site

... cause analysis for data-related issues. Required Skills & Experience: * 10+ years of experience in software testing with a focus on data-centric projects. * Proven experience in Master Data ...

NAL Syncreon

Inventory Analyst

Moreno Valley, CA · On-site

$24 - $30/hr

Inventory Analyst Moreno Valley, California Starting Pay: $24.00 - $30.00 per hour Join the Team ... Maintain accurate master data within warehouse management systems. * Partner with Operations ...

DP World

Inventory Analyst

Moreno Valley, CA · On-site

$24 - $30/hr

Inventory Analyst Moreno Valley, California Starting Pay: $24.00 - $30.00 per hour Join the Team ... Maintain accurate master data within warehouse management systems. * Partner with Operations ...

next page

Showing results 1-20

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

Master Data Analyst information

See Riverside, CA salary details

$20

$46

$80

How much do master data analyst jobs pay per hour?

As of Jun 27, 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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain finance, technology, and legal positions with extensive experience, bonuses, or equity compensation also reach this level, often requiring advanced skills, certifications, or leadership responsibilities.

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?

A master's in data analysis can enhance a Master Data Analyst's skills in advanced analytics, data management, and tools like SQL and Python, potentially leading to higher-level roles and increased salary. However, practical experience and certifications such as Certified Analytics Professional (CAP) also significantly impact career advancement. The value depends on individual career goals and industry demand for advanced data skills.

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 jobs pay 200,000 a year in the USA?

Master Data Analysts typically do not reach $200,000 annually, but senior roles such as Data Science Managers, Data Architects, or Chief Data Officers often do. These positions require extensive experience, advanced skills in data management and analytics tools, and sometimes certifications like Certified Data Management Professional (CDMP). High-paying roles in data and analytics usually involve leadership responsibilities and strategic decision-making.

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, focusing on interpreting complex data sets to support decision-making. It often involves skills in statistical analysis, data visualization, and tools like SQL, Python, or R, with certifications enhancing job prospects. These roles typically require strong analytical skills and attention to detail in data-driven environments.

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

Sr Business Intelligence Data Analyst I

Yum

Irvine, CA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago

Job description


Who is Taco Bell?
Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone's favorite Crunchy Tacos on the West Coast to a global brand with 8,500+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We're not only the largest Mexican-inspired quick service brand (QSR) in the world, we're also part of the biggest restaurant group in the world: Yum! Brands.
Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn't been done before... we will continue to be inclusive, bold, challenge the status quo and push industry boundaries.
We're a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we're at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live Más.
At Taco Bell, we're Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below.
About the Job:
Taco Bell is looking for a Sr. Business Intelligence Analyst 1 role to add to our highly collaborative and innovative Data Analytics Team. As a highly skilled and experienced Sr. Business Intelligence Analyst role within the dynamic Taco Bell Data Analytics Team, primary responsibility will be to design and develop dashboards, visualizations, metrics and reports to various business and field users across all of Taco Bell to help them derive insights for optimal business decisions. The ideal candidate will have a strong background in data analysis, business intelligence, and reporting. This role will involve working closely with various departments to provide insights and support data-driven decision-making processes.
The Day-to-Day:
  • Data Analysis and Reporting: Analyze complex and high-volume data sets to identify trends, patterns, and insights. Develop and maintain semantic models, dashboards and reports to support business operations and strategic initiatives using Microsoft Fabric end to end analytics platform and snowflake.
  • Collaboration: Work closely with cross-functional teams, including marketing, finance, and operations, stakeholders, and vendors to understand their data needs and provide actionable insights and to deliver insight-driven data products leveraging various data sources.
  • Data Management: Ensure data accuracy and integrity by implementing and maintaining data quality standards. Manage and optimize data storage and retrieval processes. Create and maintain enhanced SQL queries for report data validation and performance optimization.
  • Decision Making: Demonstrate good decision-making and high-level understanding of end-to-end data ingestion and processing of data sets used in reporting and visualizations.
  • Autonomy: Work independently with minimum guidance on complex assignments and leverage end-user relationships to drive outcomes.
  • Participate in engagements that drive more visibility within the technology leadership team.
  • Delivery: Work closely with reliability team to define change management process for Power BI migrations and assist reliability team during production deployments for report and visualization migrations.

Is This You?
  • Bachelor's degree in computer engineering, Statistics, Math, or related field. A master's degree and Power BI certification are a plus.
  • 8+ years of Industry experience in a business intelligence data analyst and report developer role.
  • 5+ years of solid hands-on experience designing, developing, and maintaining data visualizations using BI analytical tools, specifically PowerBI, Microsoft Fabric and Snowflake.
  • 5+ years of proven solid experience in designing and developing physical and logical data models to support the creation of complex data visualizations.
  • 5+ years of experience writing complex SQL queries across high-volume data sets. Highly proficient in SQL optimization techniques and PostgreSQL database systems.
  • Familiarity working with lake houses, data warehouses, relational databases, and data modeling techniques.
  • Experience in embedding data visualizations in external and internal applications.
  • Strong analytical and critical thinking skills and work independently as part of a team.
  • Be a flexible, adaptive learner, go-to-expert in the disciple, and keep up with a fast-changing business model.
  • Willingness to build meaningful relationships with all stakeholders and enthusiastic about solving business problems using data visualizations.
  • Recommend optimal data visualization solutions and eager to share/collaborate with reporting authors and consumers.
  • Demonstrate time management, teamwork, and prioritization skills.
  • Relevant industry experience in retail/QSR is a plus.
  • Excellent facilitation, oral and written communication, and presentation skills to easily explain information to technical and non-technical functional/cross-functional stakeholders.
  • Exposure and entry-level experience in the AWS cloud platform and Snowflake are a plus.
  • High-level knowledge of data engineering concepts and processes.
  • Hands-on experience using AI-powered tools in day-to-day analytics

Work-Hard, Play-Hard:
  • Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday
  • Onsite childcare through Bright Horizons
  • Onsite dining center and game room (yes, there is a Taco Bell inside the building)
  • Onsite dry cleaning, laundry services, carwash,
  • Onsite gym with fitness classes and personal trainer sessions
  • Up to 4 weeks of vacation per year plus holidays and time off for volunteering
  • Generous parental leave for all new parents and adoption assistance program
  • 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting
  • Comprehensive medical & dental including prescription drug benefits and 100% preventive care
  • Discounts, free food, swag and... honestly, too many good benefits to name

Salary Range: $99,200 to $128,600 annually + bonus eligibility + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
At Taco Bell, we Live Más and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self!
Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.
Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
US Job Seekers/Employees - To view the "Know Your Rights" poster, click here. You may also access Taco Bell's Pay Transparency Policy Statement.
Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.
California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees here.

Apply