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Entry Level Data Management Jobs in Ohio (NOW HIRING)

Dhalite Inc.

Data Operations Associate

Columbus, OH

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The ... Analyze data and prepare simple reports for management * Identify trends, patterns, and insights ...

Battelle

Data Scientist I

Columbus, OH · On-site

We conduct research and development, manage national laboratories, design and manufacture products ... This position is responsible for performing entry level analysis of program-related data, including ...

Medpace

SAS Programmer - Entry Level

Cincinnati, OH · On-site

They are seeking an Entry Level SAS Programmer to join their Biostatistics team, where the ... Data Management regarding database specifications and data transfers Qualifications : Required ...

Medpace, Inc.

SAS Programmer - Entry Level

Cincinnati, OH · On-site

... Entry level SAS Programmer to join our Biostatistics team. This position will work on a team to ... Coordinate communication and issues with Data Management regarding database specifications and data ...

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Entry Level Data Management information

See Ohio salary details

$10

$19

$29

How much do entry level data management jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for entry level data management in Ohio is $19.24, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.82 per hour, depending on experience, location, and employer.

What are entry level data management jobs?

Entry level data management jobs involve organizing, maintaining, and ensuring the accuracy of data within a company or organization. These roles typically include tasks such as data entry, data cleaning, updating databases, and assisting with data analysis projects under the supervision of more experienced data professionals. Entry level positions are ideal for those new to data management who want to build foundational skills in handling and processing data, often requiring attention to detail and proficiency with spreadsheet or database software.

What are some common challenges faced by entry level data management professionals, and how can they be overcome?

Entry level data management professionals often encounter challenges such as ensuring data accuracy, learning new data management software, and understanding organizational data standards. These challenges can be overcome by taking advantage of training resources, seeking mentorship from experienced team members, and maintaining clear documentation. Proactively communicating with colleagues and asking questions can also help new hires quickly adapt to the team's workflows and best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Data Management professional, and why are they important?

To thrive as an Entry Level Data Management professional, you need strong attention to detail, basic data analysis skills, and a relevant degree in fields like information systems, statistics, or business. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization platforms is commonly required. Excellent organizational skills, effective communication, and a proactive approach to problem-solving help you stand out in this role. These skills and qualities are essential for maintaining data accuracy, supporting business decisions, and ensuring efficient data processes.

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

AspectEntry Level Data ManagementData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, database maintenance, data quality controlData interpretation, reporting, visualization
Employer & Industry UsageBusinesses managing large datasets, IT departmentsMarketing, finance, healthcare, consulting firms

Entry Level Data Management focuses on organizing, maintaining, and ensuring data quality within organizations. Data Analysts interpret data to generate insights and support decision-making. While both roles require familiarity with databases and data tools, Data Analysts typically perform more analytical and reporting tasks, whereas Data Management roles emphasize data integrity and storage.

What are the most commonly searched types of Data Management jobs in Ohio? The most popular types of Data Management jobs in Ohio are:
What are popular job titles related to Entry Level Data Management jobs in Ohio? For Entry Level Data Management jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Management jobs in Ohio look for? The top searched job categories for Entry Level Data Management jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Management jobs? Cities in Ohio with the most Entry Level Data Management job openings:
Entry Level Data Management jobs near you
Infographic showing various Entry Level Data Management job openings in Ohio as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,023 per year, or $19.2 per hour.

Data Operations Associate

Dhalite Inc.

Columbus, OH

Other

Posted 18 days ago

Job description

Job Title: Data Operations Associate

Job Summary:
We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position is ideal for entry level candidates or candidates looking to start their career in data analysis.

Responsibilities:
  • Collect, organize, and maintain data from different sources
  • Analyze data and prepare simple reports for management
  • Identify trends, patterns, and insights from data
  • Assist in maintaining accurate databases and records
  • Support teams by providing data-related information
  • Create charts, summaries, and presentations based on findings
  • Ensure data accuracy and consistency in reports
Requirements:
  • Bachelor’s degree in Mathematics, Statistics, Business, IT, or a related field
  • Basic knowledge of Microsoft Excel and data handling
  • Strong analytical and problem-solving skills
  • Good written and verbal communication skills
  • Attention to detail and accuracy
  • Ability to work in a team environment
  • Eagerness to learn and develop analytical skills
Preferred Skills:
  • Basic understanding of data reporting and analysis
  • Time management and organizational skills
  • Ability to handle confidential information professionally
 
 
 
 
 
 
 
 
 
 

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