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Sap Master Data Jobs in Wisconsin (NOW HIRING)

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 ...

Manufacturing Engineer - Master Data

Milwaukee, WI · On-site

$69K - $89K/yr

TheManufacturing Engineer - Master Data is responsible for establishing manufacturing and part ... This position works closely with R&D as new product lines are launched by building SAP data for ...

... SD Master Data, Consignment Process, ATP Process, Managing Pricing Conditions. Strong EDI ... SAP SD configuration experience required Knowledge of SAP deployed through Citrix is helpful ...

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Sap Master Data information

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How much do sap master data jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for sap master data in Wisconsin is $44.76, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $55.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Sap Master Data position, and why are they important?

To thrive as an SAP Master Data professional, you need a strong understanding of data management principles, experience with SAP ERP systems, and typically a bachelor's degree in information systems, business, or a related field. Familiarity with SAP modules (such as MM, SD, or FI), data governance tools, and relevant certifications (like SAP Certified Application Associate) is valuable. Excellent attention to detail, analytical thinking, and effective communication skills help ensure data accuracy and successful collaboration across departments. These capabilities are crucial for maintaining high-quality master data, supporting business processes, and reducing errors in an organization's enterprise resource planning system.

What are some typical daily responsibilities of an SAP Master Data professional?

On a typical day, an SAP Master Data professional manages the creation, validation, maintenance, and cleansing of key data elements within the SAP system, such as customer, vendor, material, or product information. They work closely with cross-functional teams—like procurement, sales, and finance—to ensure data integrity and compliance with data governance standards. Monitoring data quality, troubleshooting data discrepancies, and executing regular audits are common tasks. This routine supports operational efficiency for the organization and ensures that business processes reliant on accurate data run smoothly.

What is an SAP Master Data job?

An SAP Master Data job involves managing and maintaining core business data within an SAP system to ensure accuracy, consistency, and reliability. This data includes materials, customers, vendors, and financial records used across various SAP modules. Professionals in this role are responsible for data governance, quality control, and supporting business processes by ensuring data integrity. They may also collaborate with different departments to implement best practices and resolve data-related issues.

What are the most commonly searched types of Sap Master Data jobs in Wisconsin? The most popular types of Sap Master Data jobs in Wisconsin are:
What job categories do people searching Sap Master Data jobs in Wisconsin look for? The top searched job categories for Sap Master Data jobs in Wisconsin are:
Infographic showing various Sap Master Data job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $93,110 per year, or $44.8 per hour.

Master Data Analyst

htna

Milwaukee, WI

Other

Posted 4 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.