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Master Data Coordinator Jobs in Indiana (NOW HIRING)

... and coordination of corrections with our teams, vendors, and external partners. * Identify ... Master's degree in a quantitative or health-related field. * Medicaid, managed care, or government ...

... and coordination of corrections with our teams, vendors, and external partners. * Identify ... Master's degree in a quantitative or health-related field. * Medicaid, managed care, or government ...

... and coordination of corrections with our teams, vendors, and external partners. * Identify ... Master's degree in a quantitative or health-related field. * Medicaid, managed care, or government ...

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Master Data Coordinator information

See Indiana salary details

$13

$25

$39

How much do master data coordinator jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for master data coordinator in Indiana is $25.44, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $29.28 per hour, depending on experience, location, and employer.

Is a master data coordinator a good career?

A master data coordinator is a role focused on managing and maintaining an organization’s critical data assets, ensuring data accuracy and consistency. It offers opportunities for career growth in data management, often requiring skills in database tools and attention to detail. The role can be stable and valuable within organizations that rely heavily on data integrity for decision-making.

What is a master data coordinator?

A Master Data Coordinator is a professional responsible for managing and maintaining an organization's core business data, such as customer, product, supplier, or financial information. They ensure that this data is accurate, consistent, and up-to-date across various systems and departments. Their role often includes data entry, data validation, troubleshooting data discrepancies, and supporting data governance initiatives. Master Data Coordinators play a critical role in supporting business operations and decision-making by ensuring high data quality.

How does a master data coordinator typically interact with other departments to ensure data accuracy and consistency?

A Master Data Coordinator regularly collaborates with departments such as supply chain, finance, and IT to gather, verify, and update key business data. This often involves attending cross-functional meetings, responding to data requests, and facilitating data governance processes to ensure information is consistent across business systems. Effective communication and attention to detail are essential, as the coordinator must resolve discrepancies and ensure that all stakeholders have access to accurate data. This cross-departmental collaboration is a cornerstone of maintaining reliable master data and supporting smooth business operations.

What is the difference between Master Data Coordinator vs Data Analyst?

AspectMaster Data CoordinatorData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP are commonBachelor's degree in Statistics, Data Science, or related; often requires analytical certifications
Work EnvironmentData management teams, ERP systems, enterprise databasesData analysis teams, reporting tools, data visualization platforms
Employer & Industry UsageManufacturing, retail, finance, where data accuracy is criticalMarketing, finance, consulting, focusing on insights and decision-making

The Master Data Coordinator primarily manages and maintains accurate master data within organizations, ensuring data consistency across systems. In contrast, Data Analysts focus on interpreting data, generating reports, and providing insights. While both roles require strong analytical skills and familiarity with data tools, the Master Data Coordinator emphasizes data integrity and governance, whereas Data Analysts concentrate on data analysis and visualization.

What are the key skills and qualifications needed to thrive as a master data coordinator, and why are they important?

To thrive as a Master Data Coordinator, you need strong analytical skills, attention to detail, and experience with data management principles, often supported by a degree in business, IT, or a related field. Familiarity with ERP systems such as SAP or Oracle, proficiency in Excel, and knowledge of data governance standards are typically required. Strong organizational abilities, problem-solving skills, and effective communication help ensure data accuracy and collaboration across departments. These skills are crucial for maintaining high-quality, consistent data that supports efficient business operations and informed decision-making.

What are the most commonly searched types of Master Data jobs in Indiana?

The most popular types of Master Data jobs in Indiana are:

What cities in Indiana are hiring for Master Data Coordinator jobs?

Cities in Indiana with the most Master Data Coordinator job openings:

Infographic showing various Master Data Coordinator job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,914 per year, or $25.4 per hour.

Program Evaluation & Data Analyst

National FFA Organization

Indianapolis, IN

Full-time

Posted 26 days ago


Job description

Description

JOB SUMMARY:

The National FFA Organization is looking for an individual to join our team who can write, translate, and interpret data for diverse audiences and programs. The ideal candidate will be a forward-thinking collaborator with the ability to drive, develop, and execute comprehensive evaluation and assessment plans to support the educational programming and strategic priority areas within the National FFA Organization, which require an individual with a strong combination of analytical skills, intellectual curiosity, and reporting acumen. This role will be responsible for developing, designing, and implementing evaluation and assessment plans and protocols for programs throughout the organization. It involves creating methods to report measurable outcomes and developing actionable recommendations by extracting key insights from complex data sources, rooted in a thorough understanding of program objectives. The ideal candidate will facilitate a collaborative process in designing, coordinating, and implementing multiple evaluation and assessment processes that operate simultaneously with internal and external stakeholders. Additionally, the candidate will need to be able to produce a peer-reviewed literature search and incorporate findings to support research initiatives within the organization. The candidate will need to be comfortable working on multiple projects and will also be required to work across various divisions within the organization.  Additionally, they must be willing to work in a growth-minded and collaborative team-focused environment.

Requirements

ESSENTIAL FUNCTIONS:

  • Demonstrate daily expertise in operating Excel and other advanced analytical software, 
  • including Qualtrics, SPSS, and ESpatial. Possess the skills to translate and interpret data for 
  • various purposes and audiences.
  • Effectively develop the ability to write and conduct peer reviews of written reports and other deliverables, successfully create reports, and present findings to small and large, various audiences and groups.
  • Structure, manipulate, and analyze extensive data sets to extract usable information
  • Develop and execute programmatic assessments and evaluations that produce measurable
  • outcomes for organizational programs. 
  • Identify, evaluate and summarize peer-reviewed research articles to enhance programs and research initiatives.
  • Leverage prioritization, organization, time management, and multitasking abilities to ensure timely completion of deliverables. Prioritize, organize, use time management skills, and be adept at multitasking while working with a diverse group of internal and external stakeholders.
  • Actively assess workflows and identify opportunities to streamline team and individual processes to enhance efficiency. Serve as key contributor to internal documentation of team policies, practices, and procedures to support longevity and continuity. 
  • Work independently and collaboratively while exhibiting a strong work ethic, positive attitude, and self-confidence, while being coachable. 

EDUCATION:

  • A bachelor's degree is required, and a master's degree is preferred. Relevant course work in program evaluation, community-based research, and/or statistical analysis.


EXPERIENCE:

  • One to three years of relevant experience with data analysis.
  • Writing experience in a research or journalism-related field.
  • Proficient experience in statistical analysis and data management.