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Master Data Analyst Jobs (NOW HIRING)

The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and ...

Master Data Analyst Make an Impact With Us At Vallourec, we are seeking individuals whose passion and dedication match the strength and resilience of the steel we produce. The Master Data Analyst ...

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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 ...

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 ...

As the Master Data Analyst , you will be part of a centralized team responsible for a broad range of data governance activities related to Material Master, Business Partner, Bill of Materials, Master ...

The Master Data Analyst is responsible for managing and enhancing data systems to ensure the integrity and consistency of the organization's master data as it pertains to the Global Sales Operations.

Master Data Analyst

La Crosse, WI · On-site

$66K - $99K/yr

This position is not eligible for sponsorship Data Analyst - Master Data & Enterprise Reporting Location: La Crosse, WI - Kwik Trip Support Center (Onsite/Hybrid) Job Type: Full-time About the Role ...

Master Data Analyst

La Crosse, WI · On-site

$66K - $99K/yr

This position is not eligible for sponsorship Data Analyst - Master Data & Enterprise Reporting Location: La Crosse, WI - Kwik Trip Support Center (Onsite/Hybrid) Job Type: Full-time About the Role ...

Master Data Analyst

Irving, TX · Hybrid

$75K - $100K/yr

Ensure quality of master data in key systems and develop/document processes. * Identify and resolve ... Utilize your working knowledge of SAP to manage and analyze customer data, ensuring accuracy and ...

MDAEdge is seeking a highly experienced Master Data Analyst to understand functional and technical requirements, analyze data, develop and deploy complex reports, and create project documentation ...

We have an immediate requirement for a Data Analyst (Master Data / MS Excel) , PISCATAWAY, NJ. If you are interested please call me at ( 732) 947-(3455) or respond to this email. Position Details:

Master Data Analyst

Irving, TX · On-site

$75K - $100K/yr

Ensure quality of master data in key systems and develop/document processes. * Identify and resolve ... Utilize your working knowledge of SAP to manage and analyze customer data, ensuring accuracy and ...

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Master DATA Analyst information

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How much do master data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for master data analyst in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 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.

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.

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.

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 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 are hiring for Master Data Analyst jobs?

Cities with the most Master Data Analyst job openings:

Who are the top companies hiring for Master Data Analyst jobs?

The top employers for Master Data Analyst jobs are:

What states have the most Master Data Analyst jobs?

States with the most job openings for Master Data Analyst jobs include:

What are popular job titles related to Master Data Analyst jobs?

For Master Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Master Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Master Data Analyst

htna

Milwaukee, WI • Hybrid

Full-time

Re-posted 25 days ago


Job description

Job Summary:
The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and platforms. This role partners closely with business data stewards, functional teams, IT, and reporting teams to define, maintain, and improve master data attributes, processes, and data quality.

The Master Data Analyst plays a critical role in ERP master data execution, governance compliance, and reporting design enablement for both ERP and Business Intelligence (BI) solutions. 

This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

Essential Functions:
Master Data Governance & Stewardship

  • Support and coordinate North America master data governance activities across key domains (e.g., Customer, Product, Vendor, Material, Location).
  • Partner with business data stewards to maintain master data standards, ownership, and accountability.
  • Facilitate governance workflows related to master data creation, change, approval, and retirement.
  • Ensure adherence to master data policies, naming standards, hierarchies, and reference data definitions.

Master Data Maintenance & Quality

  • Work with business and functional teams to define, validate, and maintain master data attributes and business rules.
  • Monitor and analyze master data quality, identifying issues related to completeness, accuracy, consistency, and timeliness.
  • Support data quality remediation efforts, root cause analysis, and continuous improvement initiatives.
  • Assist in defining and tracking data quality metrics and KPIs.

ERP Master Data Support

  • Support master data activities within the ERP environment (e.g., customer, product, vendor, pricing, organizational structures).
  • Collaborate with ERP functional teams to ensure master data supports business processes and operational needs.
  • Assist during ERP implementations, enhancements, and upgrades, including data migration, validation, and reconciliation.
  • Document master data-related processes, roles, and controls.

Reporting & Analytics Enablement

  • Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions.
  • Support the design of master data structures, hierarchies, and attributes that enable consistent reporting and analytics.
  • Collaborate in aligning ERP master data with BI semantic models, dimensions, and reference data.

Cross-Functional Collaboration

  • Act as a liaison between business, IT, ERP, and BI teams on master data-related topics.
  • Support change management and communication related to master data standards and governance processes.
  • Contribute to master data documentation, training materials, and user guidance.

Success in this role will require

  • Data governance and stewardship mindset
  • Strong attention to detail and data accuracy
  • Ability to translate business needs into data attributes and standards
  • Comfortable operating between business and technical teams
  • Process-oriented with a continuous improvement focus

What You'll Bring

  • Bachelor’s degree in information systems, Business Administration, Data Analytics, Supply Chain, or a related field.
  • 3+ years of experience in master data management, data governance, or ERP data support.
  • Working knowledge of ERP systems (e.g., SAP, Oracle, JDE).
  • Experience working with business data stewards and cross-functional teams.
  • Strong understanding of master data concepts, including attributes, hierarchies, reference data, and data quality.
  • Experience supporting reporting and analytics initiatives (ERP reporting and/or BI tools).
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred / Nice-to-Have Qualifications

  • Experience supporting master data during ERP transformations or migrations.
  • Familiarity with data governance frameworks and operating models.
  • Experience with BI tools such as Power BI, Tableau, or similar platforms.
  • Exposure to data quality tools, MDM platforms, or data catalog tools.
  • Experience in manufacturing, distribution, or supply chain environments.
  • Understanding of dimensional modeling concepts (facts, dimensions) for analytics.

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