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Master Data Analyst Jobs in Michigan (NOW HIRING)

R3 Tek

Data Analyst

Detroit, MI

$45/hr

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Experience in implementing solutions and processes for master data and hierarchy synchronizations ...

TriMas Corporation

Master Data Manager

Bloomfield, MI · On-site

... systems and analytics. Training,Documentation & Enablement: - Develop and deliver training for data stewards and business users on master data standards, request processes, and ERP impacts ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth ...

Optimal Inc.

Sr. Data Analyst

Superior, MI · On-site

$73K - $92K/yr

Job Titile: Sr. Data Analyst * Analyzes large datasets from connected vehicles, specifically ... Master's degree in Computer Science or related discipline. *Fully onsite

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field. * Experience ...

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Master Data Analyst information

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How much do master data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for master data analyst in Michigan is $38.65, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $48.17 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.

More about Master Data Analyst jobs
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What job categories do people searching Master Data Analyst jobs in Michigan look for? The top searched job categories for Master Data Analyst jobs in Michigan are:
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What are popular job titles related to Master Data Analyst jobs in MI? For Master Data Analyst jobs in MI, the most frequently searched job titles are:
Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 51% Full Time, 8% Part Time, and 41% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $80,402 per year, or $38.7 per hour.
Master Data Manager

Master Data Manager

TriMas Corporation

Bloomfield Hills, MI • On-site

Other

Re-posted 12 days ago

Job description

The Master Data Manager will lead TriMas enterprise master datamanagement (MDM) program, ensuring master data is governed, standardized,accurate, and fit for use across ERP and connected business systems. This rolepartners with functional leaders and data owners to define data standards, stewardcritical master data domains (e.g., customer, supplier, material/product,pricing, finance), and drive ongoing data quality improvement to supportbusiness performance, reporting, and ERP process integrity.
EssentialDuties and Responsibilities:
Master DataGovernance:
     - Define and maintain master data policies, standards, and ownership (RACI) across key domains to enable consistent use across ERP and downstream systems.
     - Establish and monitor master data quality KPIs (completeness, accuracy, timeliness, duplication) and lead remediation plans with business data owners.
MDM Strategy& Roadmap:
     - Develop and execute the enterprise master data roadmap aligned to ERP strategy, business priorities, and acquisition integration needs.
     - Lead standardization of master data definitions, hierarchies, naming conventions, and reference data to support reporting, planning, and operational execution.
BusinessPartnership & Data Stewardship:
     - Partner with functional leaders (Operations, Finance, Supply Chain, Sales, Engineering, Quality) to establish data stewardship routines, issue escalation paths, and decision forums.
     - Facilitate cross-functional workshops to resolve data definition conflicts, drive adoption of standards, and support ERP process harmonization.
Master DataOperations & Change Control:
     - Own end-to-end master data processes (create/change/inactivate) including request intake, validation, approval workflow, and auditability across master data domains.
     - Implement controls to prevent duplicates and errors (e.g., validation rules, de-duplication routines, reference data governance) and coordinate periodic cleansing activities.
Tools,Technology & Integration:
     - Partner with ERP and integration teams to define master data requirements, workflows, and controls within ERP and supporting platforms (MDM tools, ETL/integration, reporting).
     - Define data quality monitoring and exception reporting; ensure master data changes are communicated and synchronized across downstream systems and analytics.
Training,Documentation & Enablement:
     - Develop and deliver training for data stewards and business users on master data standards, request processes, and ERP impacts.
     - Maintain a master data dictionary/glossary andSOPs for key domains, including required attributes, hierarchies, and approvalrules.

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About TriMas

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Bloomfield Hills, MI, US

Year founded

1988

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