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Master Data Jobs in Ohio (NOW HIRING)

RH Aero Systems

Master Data Specialist

Mason, OH · On-site

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 ...

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$72

How much do master data jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for master data 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 jobs in the US pay 300,000 a year?

In the US, high-paying roles related to master data management typically include senior data executives, such as Chief Data Officers, and specialized data architects or consultants with extensive experience and certifications. These positions often require advanced skills in data governance, analytics tools, and leadership, and may be found in large corporations or financial institutions. Salaries reaching $300,000 are usually associated with senior-level responsibilities and significant industry expertise.

What are Master Data professionals?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in Master Data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

What is a master data job?

A master data job involves managing and maintaining an organization's core data assets, such as customer, product, or supplier information, to ensure data accuracy, consistency, and integrity. Professionals in this role often use data management tools and follow data governance standards to support business operations and decision-making.

What are the key skills and qualifications needed to thrive as a Master Data Specialist, and why are they important?

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

What jobs can I get with a master's in data analysis?

A master's in data analysis qualifies you for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

Is 40 too late for data science?

Master Data roles in data science are accessible at any age, including at 40, as the field values skills like programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.
What are the most commonly searched types of Master Data jobs in Ohio? The most popular types of Master Data jobs in Ohio are:
What are popular job titles related to Master Data jobs in Ohio? For Master Data jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Master Data jobs in Ohio look for? The top searched job categories for Master Data jobs in Ohio are:
What cities in Ohio are hiring for Master Data jobs? Cities in Ohio with the most Master Data job openings:
Master Data jobs near you
Infographic showing various Master Data job openings in Ohio as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote 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

Posted 5 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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