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Data Management Analyst Jobs in Ohio (NOW HIRING)

Collabera LLC

Data Management Consultant

Columbus, OH · On-site

$70 - $74/hr

Data Management Analyst 5 Primary Location: Columbus, OH Duration: 5 months contract with possible extension Pay range: $70 - $74/Hr Required Skills * Minimum of 7 years of experience in Data ...

Sumaria Systems

Senior Management Analyst

Fairborn, OH · On-site

$80K - $85K/yr

This includes knowledge of and the ability to analyze data, draw conclusions, manage the AFMC Task Management Tool (TMT) system, determine when additional information is required from other ...

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All JobsData Management Analyst JobsData Management Analyst Jobs in Ohio

Data Management Analyst information

See Ohio salary details

$21.4K

$84.3K

$136.9K

How much do data management analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data management analyst in Ohio is $84,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $103,200.00 per year, depending on experience, location, and employer.

What does a data management analyst do?

A data management analyst is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They develop data standards, implement data quality controls, and often use tools like SQL, Excel, or data management software to support decision-making and operational efficiency.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data management analyst involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data governance, critical thinking, and domain knowledge.

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

To thrive as a Data Management Analyst, you need strong analytical abilities, attention to detail, and a solid understanding of data structures, often supported by a degree in information systems, computer science, or a related field. Familiarity with database management systems (like SQL), data visualization tools (such as Tableau or Power BI), and data governance frameworks is typically required, along with relevant certifications. Excellent problem-solving skills, effective communication, and the ability to collaborate across departments distinguish top performers in this role. These skills are crucial to ensure data integrity, drive informed business decisions, and maintain compliance with organizational and regulatory standards.

Is 40 too late for data science?

A Data Management Analyst role involves organizing and maintaining data systems, and transitioning into data science at age 40 is feasible with relevant skills such as programming, statistics, and data visualization. Many professionals successfully switch careers or upskill later in life through online courses, certifications, and practical experience.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but experienced data analysts with skills in SQL, Excel, and data visualization tools often earn higher wages, especially in tech and finance sectors.

What are Data Management Analysts?

Data Management Analysts are professionals responsible for collecting, processing, and maintaining data to ensure its accuracy, integrity, and accessibility within an organization. They analyze data workflows, create and enforce data management policies, and often work with databases and data visualization tools. Their work ensures that high-quality data is available for business analysis, reporting, and decision-making. Data Management Analysts also help ensure compliance with data governance standards and may collaborate with IT and business teams to optimize data systems.

How does a Data Management Analyst typically collaborate with other departments within an organization?

Data Management Analysts frequently work cross-functionally, collaborating with departments such as IT, business intelligence, and operations to ensure data integrity and accessibility. They often serve as a bridge between technical teams, who manage the databases, and business users, who rely on accurate data for decision-making. Effective communication and problem-solving skills are essential, as analysts may need to translate business needs into data solutions or clarify data issues to non-technical stakeholders.

What is the difference between Data Management Analyst vs Data Analyst?

AspectData Management AnalystData Analyst
Primary FocusManaging, organizing, and ensuring data quality and integrityAnalyzing data to identify trends and generate insights
Skills & CertificationsDatabase skills, data governance, SQL, certifications like CDMPStatistical analysis, Excel, visualization tools, certifications like CAP
Work EnvironmentData warehouses, databases, IT teamsBusiness units, reporting teams, analytics departments

While both roles work with data, the Data Management Analyst focuses on maintaining data quality and structure, whereas the Data Analyst emphasizes analyzing data to support decision-making. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

What Does a Data Management Analyst Do?

As a data management analyst, you perform a variety of duties related to computer systems security and database management. You monitor databases and other digital storage systems for security breaches, technical issues, and provide routine maintenance on the systems. Depending on your level, you may also work with other developers to design new databases and security tests. A career as a data management analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in computer science or information technology. You should have a thorough familiarity with database languages such as SQL, and analytical problem-solving skills.

More about Data Management Analyst jobs
What are popular job titles related to Data Management Analyst jobs in Ohio? For Data Management Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Management Analyst jobs in Ohio look for? The top searched job categories for Data Management Analyst jobs in Ohio are:
What cities in Ohio are hiring for Data Management Analyst jobs? Cities in Ohio with the most Data Management Analyst job openings:
What are popular job titles related to Data Management Analyst jobs in OH? For Data Management Analyst jobs in OH, the most frequently searched job titles are:
Data Management Analyst jobs near you
Infographic showing various Data Management Analyst job openings in Ohio as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $84,293 per year, or $40.5 per hour.
Data Management Analyst-Columbus OH - Hybrid

Data Management Analyst-Columbus OH - Hybrid

Apetan Consulting llc

Columbus, OH • On-site

$70/hr

Contractor

Posted 12 days ago

Job description

Role: Data Management Analyst

Location: Columbus OH – Hybrid

Job Description              

The Data Management Analyst 5 will be taking on a new role within the team in order to focus on examining data lineage and drive data governance This contractor will act as a consultant for the teams data management strategy and assist in defining opportunities, tools, and execution methods.

Covers jobs that drive oversight, governance, and management of critical data to support business needs, initiatives, and strategies. Consult with data product, data integrity, technology, and business partners to set standards, policies and practices for data flow, data framework, data access, documentation, quality and remediation. This sub-family is specific to contingent resources.

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Data Management

Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking

Provide expertise to Wells Fargo senior leadership on innovative Data Management business solutions. Strategically engage with Wells Fargo personnel.

Duties include:

•Lead the development, implementation, and continuous improvement of enterprise data governance frameworks, standards, policies, and procedures.

•Collaborate with stakeholders and engagements

•May present findings and strategy leadership

•Creating reports and performing complex analysis in order to reshape and examine digital requirements

•Establish and oversee data ownership, stewardship, accountability, and governance operating models across multiple data domains.

•Drive enterprise adoption of data management practices including data quality, metadata management, lineage, data controls, and critical data element management.

•Chair or facilitate governance forums and domain councils to resolve data-related risks, issues, priorities, and strategic decisions.

•Partner with business, technology, risk, compliance, and audit stakeholders to ensure alignment with regulatory, policy, and governance requirements.

•Provide strategic leadership and subject matter expertise on data governance, data management, and enterprise data strategy initiatives.

•Influence enterprise-wide decisions regarding data standards, quality expectations, metadata requirements, and governance controls.

•Serve as a trusted advisor to senior leadership on data-related risks, opportunities, and governance priorities.

•Promote a culture of data accountability, quality, transparency, and responsible data management across the organization.

•Ensure governance requirements are embedded within Agile delivery processes, product development lifecycles, and change initiatives.

•Drive continuous improvement through automation, process optimization, and adoption of emerging governance capabilities."                                                                                                                                                                      

Required Skills                                                                                                                                                                                                                                                                     

•Strong Knowledge of Data Strategy with a  proven track record of success

•7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

•Experience with Data modeling, data domains, data governance experience

•Ability to identify needs, create and define customized reports as needed

•Ability to perform complex analysis to examine digital requirements

•Data mapping

•AI Usage Experience

•Ability to identify needs, create and define customized reports as needed                                                                                               

Desired Skills

•Analytical Problem Solving

•Data Lifecycle Management

•Data Strategy

•Banking domain experience