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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 ...

Midmark

Data Steward

Versailles, OH · On-site

The Data Steward will be responsible for ensuring accuracy and quality of our customer master data ... Bachelor's degree in data analytics or business-related field and 1 + years' experience in a ...

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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 16, 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.

More about Master Data Analyst jobs
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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 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $87,699 per year, or $42.2 per hour.

Master Data Specialist

RH Aero Systems

Mason, OH • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

About RH Aero Systems:
RH Aero Systems is setting the standard for aviation support equipment and services. Through our industry-leading businesses - Rhinestahl and HYDRO Systems - we deliver capability across custom-designed Ground Support Equipment, OEM-licensed engine and airframe tooling, 26 global service centers and innovative engineered solutions for OEMs, MROs and Operators worldwide. RH Aero Systems' global headquarters are in Mason, Ohio, USA, with Regional Headquarters in Biberach, Germany and Singapore. For further details visit RHAero.com.
Job Summary:
RH Aero is seeking a hands-on Master Data Specialist to support enterprise master data management, financial analysis, global data compliance, and analytics transformation efforts tied to a major business integration and future ERP implementation.
This role will be central to improving the quality, consistency, and governance of master data across two legacy operating companies, including vendor, supplier, customer, product, financial, organizational, and reference data. The Master Data Specialist will help standardize data definitions, validate records, resolve data quality issues, support data cleanup and migration activities, and ensure master data is accurate, complete, and usable across finance, procurement, supply chain, operations, and reporting processes.
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 data entry or report development role. It is a business-facing master data and analytics role for someone who can work across systems, functions, and data domains to strengthen data integrity, improve decision-making, and support future ERP and analytics capabilities.
Key Responsibilities:
Build RH Aero's Master Data Foundation
  • Create, update, validate, and deactivate customer, vendor, and supplier master data records according to established policies, controls, and approval workflows.
  • Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.
  • Investigate and resolve vendor and supplier master data issues that affect procurement, purchase orders, invoice processing, payments, reporting, spend analysis, supplier performance, and financial controls.
  • Monitor vendor and supplier data quality metrics and recommend corrective actions to improve accuracy, compliance, and process efficiency.
  • Support vendor and supplier data cleanup, rationalization, standardization, and migration activities during ERP implementations, system upgrades, mergers, acquisitions, or process improvement initiatives.
  • Perform data quality checks to normalize records, missing fields, inconsistent naming conventions, incorrect payment information, inactive suppliers, and invalid mappings.
  • Partner with procurement, accounts payable, finance, supply chain, compliance, and IT teams to ensure vendor and supplier data is accurate, complete, controlled, and aligned to business requirements.

Qualifications and Experience:
  • Experience to master data management, data analysis, finance, procurement, business operations, and reporting functions
  • Experience with Power BI, including dashboard development, data modeling, Power Query, and DAX in a Microsoft platform.
  • Understanding of financial reporting concepts such as GL accounts, cost centers, profit centers, budgets, forecasts, actuals, accruals, payables, and variances.
  • Experience with ERP systems such as SAP, Oracle, Microsoft Dynamics, Workday, NetSuite, Coupa, Ariba, or other procurement and supplier management platforms.
  • Experience supporting vendor master data, supplier master data, procurement master data, accounts payable data, or supplier lifecycle management.
  • Familiarity with supplier onboarding, vendor validation, tax documentation, payment controls, banking controls, procurement policies, and audit requirements.
  • Knowledge of procurement and finance processes, including procure-to-pay, purchase orders, invoices, vendor payments, supplier performance, and spend reporting.
  • Experience with MDM tools, data catalog tools, workflow tools, supplier management tools, or data quality platforms.
  • Knowledge of SQL for querying and validating vendor, supplier, finance, and procurement data.
  • Experience supporting finance transformation, procurement transformation, ERP implementation, supplier data migration, or process improvement projects.
  • Familiarity with internal controls, audit requirements, compliance frameworks, segregation of duties, and vendor payment risk controls.
  • Experience with Python, Alteryx, Power Automate, or other automation tools is a plus.

Education
  • Bachelor's degree in Business, Finance, Accounting, Information Systems, Data Analytics, Supply Chain, Procurement, or a related field. Equivalent practical experience in enterprise data engineering will also be considered.

Key Competencies
  • Strong attention to detail and commitment to master data integrity.
  • Ability to structure ambiguous data issues into practical, process-driven solutions.
  • Business-facing communication and stakeholder management across finance, procurement, supply chain, operations, IT, and compliance.
  • Analytical mindset with the ability to connect master data quality to financial reporting, procurement performance, supplier management, and operational decision-making
  • Systems thinking across data, process, controls, reporting, and ERP platforms
  • Ownership mindset with strong follow-through on data cleanup, validation, issue resolution, and stakeholder requests

This role is critical to creating a single, trusted master data foundation across the business. The Master Data Specialist will help move the organization from fragmented, inconsistent, and manually maintained data toward governed, standardized, and reliable master data that supports ERP integration, financial controls, procurement and supplier management, Power BI reporting, executive KPI visibility, self-service analytics, and future AI-enabled business insights.
Other Information:
We offer a comprehensive benefits package designed to support our team's health, financial security, and overall well-being. The company offers competitive medical, dental, and vision plans, HSA and FSA plans, Mental health resources, and employee assistance programs. We offer Paid Parental Leave, Company Paid Long Term Disability, competitive 401k employer match, floating holiday, tuition reimbursement program, amongst other benefits.
We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The company participates in E-Verify as required by law.

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