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Master Data Analyst Jobs in Milwaukee, WI (NOW HIRING)

... Master Data experience is preferred. * At least 5 years of experience in Development/ Configuration/solutions evaluation/ Validation and deployment * Analytical and Communication skills * Project and ...

... Master Data experience is preferred. * At least 5 years of experience in Development/ Configuration/solutions evaluation/ Validation and deployment * Analytical and Communication skills * project and ...

Senior Production Scheduler / Master Scheduler | Milwaukee, WI Badger Talent Solutions is seeking ... Advanced Excel and production data analysis skills * Experience driving continuous improvement and ...

Sr. Data Engineer

Pewaukee, WI · On-site

$128 - $150/hr

Knowledge of enterprise data architecture and master data management. * Experience with Microsoft Power BI or comparable analytics platforms. * Experience working in utility, energy, infrastructure ...

Posted today

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Knowledge of enterprise data architecture and master data management. Experience with Microsoft Power BI or comparable analytics platforms. Experience working in utility, energy, infrastructure ...

New

This person will be working directly with the Client Master Data management team to strategize the ... Gather, analyze, and transform business requirements into an integrated enterprise logical data ...

Showing results 41-60

Master Data Analyst information

See Milwaukee, WI salary details

$19

$43

$75

How much do master data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for master data analyst in Milwaukee, WI is $43.70, according to ZipRecruiter salary data. Most workers in this role earn between $30.10 and $54.47 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.

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 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 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.
Infographic showing various Master Data Analyst job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,918 per year, or $42.3 per hour.

Director of Enterprise Applications

The Boelter Companies, Inc.

Pewaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

For 95 years, Boelter has been helping our customers create unforgettable experiences. Our focus is to provide unparalleled service and high-quality products. Boelter takes your best and makes it even better.
Boelter participates in every aspect of the restaurant supply, hospitality, and beverage industries. From designing commercial kitchens to delivering barware supplies, from installing food service equipment to staging the perfect tabletop - with our full spectrum of services and products - we bring inspiration to the table.
Director of Enterprise Applications
Location: Pewaukee, WI (Hybrid)
Core responsibilities
Boelter is seeking a disciplined, partner-minded Director of Enterprise Applications who owns the design, standardization, and continuous improvement of the core business processes that run Boelter - order-to-cash, procure-to-pay, record-to-report, and warehouse operations - and delivers measurable operational and financial outcomes. This leadership role delivers operational improvements and owns the improvement of Boelter's business application portfolio including SAP S/4HANA at the core, with warehouse (WMS) and transportation management(TMS), procurement tax, pricing, and EDI surrounding it, and drives improvements to ERP and master data infrastructure. The role also owns how AI shows up in these processes, including agentic and embedded AI within SAP, intelligent document and order processing, and AI-assisted master data quality, deciding where
intelligent automation replaces manual work and where it does not. The role leads the ERP
turnaround from stabilization through continuous improvement, establishes the governance that makes the ERP and its master data trustworthy, and partners with Operations, Supply Chain Finance, and Functional Business Leaders to convert their requirements into scalable enterprise capabilities.
Key accountabilities
Business partnership. Serve as the trusted bridge between Operations, Supply Chain, Finance, HR, and the application portfolio, translating business needs into requirements and delivering outcomes owned jointly with those leaders.
Supply chain process alignment. Bring deep order-to-cash, procure-to-pay, record-to-report, and warehouse process fluency, and evolve the ERP and its master data to serve operational outcomes. Demonstrable improvements include inventory accuracy, touchless order flow, cost-to-serve, and working capital.
ERP strategy and roadmap. Set and execute the enterprise application strategy and multi-year roadmap for S/4HANA and the surrounding portfolio (WMS, TMS, MRP tax, pricing, master data, EDI), aligned to Boelter's growth and productivity objectives and sequenced against the business's capacity to absorb change.
SAP improvement program leadership. Direct the SAP program with internal and third-party delivery partners, including stabilization, releases, and upgrades. Delivers on time and on budget with real adoption. Lead platform improvements to achieve a more stable, continuously improving core. Evaluates and leads the adoption of a disparate projects business into the ERP.
ERP governance and controls. Own how the ERP is managed: release, change, and incident management standards; environment and configuration discipline; segregation-of-duties and ITGC-aligned controls; and a governed intake that converts business demand into one prioritized backlog.
Master data improvements. Partner with Operations and Master Data to drive continuous improvements to the structure and quality of ERP master data, including customer, vendor, material, and pricing domains. This improvement including remediation and sustainable post-go-live governance operated with Operations and Finance, with quality measurement in partnership with Data, AI & Analytics.
AI and intelligent automation. Own the AI agenda for enterprise applications: identify where agentic and embedded AI, intelligent document processing, and AI-assisted data quality create measurable operational lift, then build the business case, select the capability, and lead adoption. Set the guardrails for responsible use in core business processes, and partner with Data, AI & Analytics on shared platforms and standards.
Delivery practice and continuous improvement. Lead lean portfolio management and agile delivery in collaboration with Architecture & Engineering. Lead application managed services and delivery-partner performance, and build continuous improvement into run operations.
Minimum requirements
• 12+ years in enterprise applications and SAP program leadership; S/4HANA strongly preferred.
• Led a business transformation anchored on an ERP turnaround in a distribution or
supply-chain-intensive business.
• Hands-on master data remediation and governance across customer, vendor, and material.
• Proven management of delivery partners and application managed services, including SI's.
• A trusted-partner track record with Operations, Supply Chain, and Finance, with outcomes owned jointly with those leaders.
• Working knowledge of order-to-cash, procure-to-pay, and record-to-report processes; pricing and EDI experience preferred. Continuous improvement and agile delivery experience preferred.
• Demonstrated experience putting AI or intelligent automation into a real business process,including agentic AI, document or order automation, or AI-assisted data quality. Proven success implementing AI into production and driven adoption.
Measures of success
Achievement of enterprise breakthrough objectives including supply chain transformation, growth, and profitability; Post-hypercare SAP stability (incident volume and aging, system availability); master data quality trend against remediation targets across customer, vendor, and material domains; on-time, on-budget release delivery with measured adoption; documented operations and finance outcomes (order cycle time, inventory accuracy, touchless order percentage, close cycle, cost-to-serve); business partner confidence in intake through delivery; delivery-partner cost and performance against service levels; AI and intelligent automation adoption, including processes
automated, touchless throughput gained, and hours returned to the business.
Leadership expectations
Competencies. Plans and aligns; ensures accountability; collaborates; delivers results.
Experiences. SAP turnaround in distribution; master data remediation; delivery-partner
management.
Traits. Disciplined, persistent, steady, partner-minded.
Drivers. Structure; challenge; collaboration.
At Boelter, we care about our associates. We are pleased to offer a comprehensive suite of benefits that are designed to promote and support total well-being for you and your family.
Associates working a minimum of 30 hours per week are eligible to enroll in our benefit programs. Coverage begins the first of the month following hire date for those that enroll in:
• Medical & Prescription Drug
• Dental
• Vision
• Flexible Spending
• Health Savings Accounts
• Long-Term Disability
• Basic Life/AD&D
• Supplemental Life/AD&D
Short-Term Disability coverage is provided via salary continuation at a rate of 60% of your base salary. You are eligible for this coverage after one year of employment.
401(k) contributions can start as soon as the first payroll of employment and include a company match.
You can also take advantage of Associate Perks immediately such as Paid Time Off and associate discounts at our stores.
We are proud to offer On Demand pay to their associates. Work today and get paid tomorrow!
Boelter is committed to offering a robust benefits package and exciting work culture that makes it a great place to work! Wont you come join us?