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Master Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Prometheus Group

Master Data SME

Raleigh, NC · On-site

Data Analysis: Conduct thorough data analysis to identify data quality issues, inconsistencies, and ... Train and mentor team members on master data best practices and tools. * Tool Expertise:

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

... Master's degree preferred). * A minimum of 5 years of experience in data analytics, data science ... or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

... Master's degree preferred). * A minimum of 5 years of experience in data analytics, data science ... or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

... Master's degree preferred). * A minimum of 5 years of experience in data analytics, data science ... or a related analytical role. * Strong knowledge of statistical analysis, modeling techniques, and ...

VHB

Senior Transportation Data Analyst

Raleigh, NC · On-site

$98K - $148K/yr

Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline * Applicants must be legally authorized to work for VHB in the U.S. without ...

VHB

Senior Transportation Data Analyst

Raleigh, NC · On-site

$98K - $148K/yr

Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline * Applicants must be legally authorized to work for VHB in the U.S. without ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Master's preferred. • 2+ years of hands-on experience with data analysis, AI modeling, or business intelligence tools. • Experience with SAS Viya, especially SAS Visual Analytics and Model Studio ...

Pwc

Data Strategy-Manager

Raleigh, NC · 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

Raleigh, NC

$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 ...

Fidelity Investments

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Raleigh, NC

Master Data Analyst information

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$43

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How much do master data analyst jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for master data analyst in Raleigh, NC is $43.11, according to ZipRecruiter salary data. Most workers in this role earn between $29.66 and $53.75 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.

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Master Data Analyst jobs near you
Master Data SME

Master Data SME

Prometheus Group

Raleigh, NC • On-site

Full-time

Dental, Life, Retirement, PTO

Re-posted 26 days ago

Job description

About Prometheus Group
Prometheus Group is a team of self-starters centered on being resourceful, accountable, and results-focused. Career progress is based on merit and not years of service or attaining certifications. Our drive and dedication to creating great products for our global customers are at the heart of all we do! In joining Prometheus, you will become a part of the largest global provider of comprehensive enterprise asset management (EAM) software solutions that support the management life cycle for equipment maintenance and operations.
Job Summary
We are seeking a highly skilled and experienced Master Data SME to join our team. The ideal candidate will have a deep understanding of SAP master data processes, data quality best practices, and a proven track record of successfully cleaning and maintaining master data.
Responsibilities
  • Subject Matter Expertise: Provide expert guidance and support on master data projects, including materials, equipment, functional locations, and bill of materials.
  • Data Analysis: Conduct thorough data analysis to identify data quality issues, inconsistencies, and redundancies.
  • Data Cleansing: Develop and implement effective data cleansing strategies and procedures to improve data accuracy and integrity.
  • Process Optimization: Collaborate with customers to optimize their master data management processes and workflows.
  • Training and Knowledge Transfer: Train and mentor team members on master data best practices and tools.
  • Tool Expertise: Proficiently use relevant Prometheus tools and applications for master data management, such as our MDaaS solution.
  • Project Management: Contribute to project planning, execution, and delivery, ensuring project goals are met.
  • Customer Relationship Management: Build and maintain strong relationships with clients, providing excellent customer service and support.

Requirements
  • Bachelor's degree in Engineering, Information Technology, or a related field.
  • Minimum 3 years of experience working with SAP master data, specifically in the areas of materials, equipment, functional locations, and bill of materials.
  • Proven track record of successfully cleansing and/or maintaining large-scale SAP master data sets.
  • Strong understanding of SAP data quality best practices and methodologies.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills, both verbal and written.
  • Ability to work independently and as part of a team.
  • Experience with SAP Master Data Governance (MDG) is a nice to have

Benefits Overview
We offer an attractive benefits program to meet the diverse needs of our teammates:
  • Employee base HSA plan, dental, life and short-term disability coverage 100% paid for by Prometheus Group
  • HSA & FSA plan options
  • Retirement Savings with Generous Company Match & Immediate Vesting
  • Gym membership to O2 Fitness
  • Casual dress attire
  • Half-Day Fridays
  • Generous Paid Time Off
  • Company Outings, Trips & Activities

Prometheus Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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