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Master Data Analyst Jobs in Minnesota (NOW HIRING)

Technical Master Data Analyst Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it ...

Technical Master Data Analyst Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it ...

Senior Data Analyst

Eden Prairie, MN · Remote

$91K - $163K/yr

Support data modeling, standardization, and master data management efforts * Partner with cross-functional stakeholders to gather business requirements and translate them into analytical solutions ...

Accurate entry of supplier and customer master data * Validation of banking details for suppliers ... Supervise the work of data operations analysts * Other Duties as Assigned Education & Experience ...

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Accurate entry of supplier and customer master data * Validation of banking details for suppliers * Process weekly payments for assigned segments and brands, including Check, ACH, Credit Card and ...

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Master Data Analyst information

See Minnesota salary details

$19

$43

$75

How much do master data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for master data analyst in Minnesota is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $29.90 and $54.13 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.

What job categories do people searching Master Data Analyst jobs in Minnesota look for? The top searched job categories for Master Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Master Data Analyst jobs? Cities in Minnesota with the most Master Data Analyst job openings:
What are popular job titles related to Master Data Analyst jobs in MN? For Master Data Analyst jobs in MN, the most frequently searched job titles are:
Infographic showing various Master Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 43% Full Time, 8% Part Time, and 49% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $90,348 per year, or $43.4 per hour.
Lead Manufacturing Master Data Analyst

Lead Manufacturing Master Data Analyst

Entegris

Chaska, MN

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

84th of 528 rated manufacturers


Job description

Job Title:

Lead Manufacturing Master Data Analyst

Job Description:

The Role:
Entegris is seeking a highly motivated Lead Manufacturing Master Data Analyst to support our Advanced Purity Solutions division. This role is accountable for improving manufacturing execution performance by defining, standardizing, and sustaining the master data configurations that govern how work is planned, prioritized, and executed on the shop floor.
Acting as the bridge between Operations, Engineering, Planning, and Digital teams, this role translates execution requirements into scalable data standards, drives site adoption projects through training and enrichment activities, and ensures master data remains aligned with realworld processes as factories evolve. Ownership of ensuring data accuracy, consistency, and fitnessforpurpose will deliver improvements in cycle time reduction, ontime shipment, WIP control, and capacity utilization.

Location: This position may be based in either Billerica, Massachusetts or Chaska, Minnesota. Candidates located near or willing to work from either site are encouraged to apply.

What You'll Do:

  • Develop working knowledge of manufacturing processes and operations across multiple sites and business units to contextualize ERP master data.
  • Understand Entegris deployment and specific configurations of SAP, especially for Work Centers, Routings, Labor Pools, and BOMs.
  • Gain knowledge of short- and long-term planning process steps, planned orders are converted to production orders and then managed through the production process.
  • Lead master data enrichment and sustainment projects focused on enabling short- and long-range capacity planning, accurate standard costing, and predictable scheduling at global manufacturing facilities.
  • Develop business specific master data standards, configuration, and maintenance practices that are consistent with corporate policies.
  • Partner with Operations, Engineering, Planning, and Digital teams to translate operational requirements into actionable master data configurations that enable efficient operation.
  • Work closely with the Manufacturing Performance Analytics lead to ensure master data configurations support actionable insights on key manufacturing metrics such as WIP, on time job completion, capacity loading, etc.
  • Build and maintain relationships across the global organization to enable effective leadership and collaboration, especially networking with other members of the global ops organization working on master data projects.
  • Support enhancements or changes to data configuration as operational processes change to maintain accurate production signals to operations.
  • Drive projects to support standardized master data approach to cost structure.
  • Communicate effectively across the organization (BU, Operations, NPI, NPD, R&D, etc.) to drive results. Contribute to the direction of the department in partnership with other members of the team and leadership.

What We Seek

  • Bachelors of Science in Engineering, Supply Chain, Data Science, or similar
  • 10+ years of experience in operations/manufacturing with some experience in Planning, Supply Chain, or Logistics type support roles
  • Strong understanding of ERP systems and Production/Planning/Procurement processes
  • Experience in fast paced, advanced manufacturing with competing priorities and a high mix, moderate volume
  • Desire to collaborate with varied cross functional stake holders at all levels
  • Tenacity to drive projects to completion translating broad requirements into specific functionality to meet business needs
  • Ability to maintain positive/collaborative working relationships with cross functional stakeholders at all levels of the organization
  • Ability to present technical data to all levels of the organization
  • Ability to wear PPE as necessary for work in a cleanroom and lift up to 50 lbs
  • Ability to travel domestically and/or internationally in support of Global Process Engineering team charter (up to 20%)


Your success will be measured by:

Schedule, Capacity, and Costing Predictability Project proliferation

  • Ability to initiate engagement with new factories, develop timelines, and drive SCCP projects to completion in collaboration with local teams.
  • Maintaining strong crossfunctional alignment (Operations, Planning, Engineering, Digital/IT, Finance) with documented decisions, clear RACI, and stakeholder satisfaction evidenced by participation, timely approvals, and minimal rework.
  • Deliver defined scope on the committed timeline, with clear milestone tracking (baseline plan, critical path, and weekly status), and timely escalation of risks/issues.
  • Train site personnel on their roles and responsibilities to the point of self-sufficiency by job function, effectively eliminating reliance on maintaining data as another set of tribal knowledge.

Optimized master data configuration impact

  • Drive measurable shop-floor execution improvements enabled by SCCP (e.g., schedule adherence, on-time job completion, WIP visibility/control, capacity loading accuracy, and reduced manual workarounds), with baseline and postimplementation performance review.

Sustainment

  • Establish and sustain master data standards and governance (routings, work centers, labor pools, BOM-related execution data), including documented ownership, change control, and audit/quality checks.
  • Success looks like stable plants with Engineering and Production owners for critical data fields operating on their own to continue to get the operational benefits with occasional support for enhancements or issues.

Why Work At Entegris?

Lead. Inspire. Innovate. Define Your Future.


Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization - not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.

What We Offer

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $119,500.00 - $149,000.00 per year range with actual pay dependent on candidate overall skills for the role

  • Annual bonus eligibility

  • Progressive paid time off policy that empowers you to take the time you need to recharge

  • Generous 401(K) plan with an impressive employer match with no delayed vesting

  • Excellent health, dental and vision insurance packages to fit your needs

  • Education assistance to support your learning journey

  • A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

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