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Master Data Analyst Jobs in Ohio (NOW HIRING)

RH Aero Systems

Master Data Specialist

Mason, OH · On-site

The role will also create and support BI analysis, financial reporting, KPI development, and business recommendations by turning trusted master data into actionable insights. This is not simply a ...

Qnity

SAP Supply Chain Master Data Senior Analyst

Delaware, OH · Hybrid

$74K - $92K/yr

The SAP Supply Chain Master Data Senior Analyst is responsible for the creation, maintenance, and deletion of Material Master Data within the SAP-based Enterprise Resource Planning (ERP) system. This ...

Corporate Ladder

Master Data Specialist

Kent, OH

Master Data Specialist Join a well-established, multi-division industry leader with a strong ... Strong analytical, problem-solving, and organizational skills. * Attention to detail with the ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

MS degree in engineering or Master's degree in a Data analyst related field from an accredited college or university and a minimum of four years relevant experience. Principal: * BS degree in ...

Kiva Design

Data Analyst

Cincinnati, OH

MS degree in engineering or Master's degree in a Data analyst related field from an accredited college or university and a minimum of four years relevant experience. Principal: * BS degree in ...

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Master Data Analyst information

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$18

$42

$72

How much do master data analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for master data analyst in Ohio is $42.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.04 and $52.55 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.

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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $87,699 per year, or $42.2 per hour.

Data Analyst Master Data Management

Crown Equipment Corporation

New Bremen, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Crown Equipment Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

195th of 487 rated machine equipment manufacturers

Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Collaborate with business, IT, and data stewardship teams to establish and maintain data governance standards, policies, and procedures across the enterprise.
  • Partner with stakeholders to define business rules, data ownership, data quality requirements, and governance controls for critical master and transactional data.
  • Monitor and analyze data quality metrics, identify data issues, and drive remediation efforts to improve accuracy, consistency, completeness, and compliance.
  • Support the development and maintenance of data governance frameworks, data dictionaries, business glossaries, metadata repositories, and data lineage documentation.
  • Facilitate data governance councils and working groups to ensure alignment on data standards, stewardship responsibilities, and governance priorities.
  • Conduct data profiling and impact assessments to support business initiatives, system implementations, and data migration activities.
  • Work closely with data engineering, analytics, and business teams to ensure governance requirements are incorporated into data solutions and reporting processes.
  • Recommend and implement processes that strengthen data integrity, reduce risk, and enhance the value of enterprise data assets.
  • Research and evaluate data governance tools and technologies to support the Company's Data Governance and Master Data Management programs.
  • Gather business, regulatory, and legal requirements related to data management, privacy, retention, and compliance.
  • Support governance processes throughout the data lifecycle, including data creation, maintenance, archival, and disposition.
  • Monitor adherence to established data governance standards and provide guidance, training, and best practices to stakeholders across the organization.
  • Collaborate with IT to ensure appropriate controls, storage, retention, and access management practices are in place to support governance objectives.

Minimum Qualifications

 

  • High school diploma or equivalent, along with at least 5 years related experience is required.

 

 Preferred Qualifications

  • Bachelors degree in Information Systems or related field, along with Master Data Quality experience
  • Working knowledge of SAP

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities

What Crown Equipment Corporation employees say

Pay

Benefits

Hours and flexibility

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Crown Equipment logo

About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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