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Master Data Analyst Jobs in Ohio (NOW HIRING)

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

... exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ... Master's degree; or a PhD without experience; or equivalent work experience.

Winsupply

Data Analyst Intern

Moraine, OH · On-site

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ... Currently enrolled in an accredited university or college, either at the undergraduate or master ...

Winsupply

Data Analyst Intern

Moraine, OH

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ... Currently enrolled in an accredited university or college, either at the undergraduate or master ...

Winsupply

Data Analyst Intern

Moraine, OH · On-site

Position Summary We are seeking a detail-oriented Data Analyst Intern to join our team. This role ... Currently enrolled in an accredited university or college, either at the undergraduate or master ...

Themesoft, Inc.

Data Analyst: Level 3

Ohio City, OH · On-site

Data Build and Maintenance of the master external workforce dataset using security/badging, VMS ... Analysis. Review and interpret contract documents (PDFs) to extract key commercial and workforce ...

New

Modern Technology Solutions, Inc.

... master's preferred) • 8-10 years of experience in data analytics, systems engineering, or technical development roles • Experience with SAP environments and DoD enterprise data systems • ...

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How much do master data analyst jobs pay per hour?

As of Sep 12, 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 is a master data analyst?

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.

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.

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.

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 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 jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.
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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $87,699 per year, or $42.2 per hour.

Senior Data Analyst

Mason, OH • On-site

Narwal
IT Services • 51 - 200 employees
Learn more about Narwalexternal

$80K - $102K/yr

Full-time

Re-posted 14 days ago

Job description

Responsibilities: 

  • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
  • Interprets and communicates insights to product, service and business management.
  • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
  • Develops in-depth understanding of underlying data, data structures, and business uses of data.
  • Develop functional understanding of the business and apply towards building business facing marts
  • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
  • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
  • Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
  • Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
  • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
  • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
  • Experience in data mining and root cause analysis preferred
  • Ability to work in a fast-paced and dynamic environment
  • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.