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Data Analytics Graduate Jobs in Columbus, OH (NOW HIRING)

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Data Analytics Graduate information

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$23

$52

$91

How much do data analytics graduate jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics graduate in Columbus, OH is $52.88, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $59.90 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

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

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Columbus, OH?

The most popular types of Data Analytics Graduate jobs in Columbus, OH are:

What are popular job titles related to Data Analytics Graduate jobs in Columbus, OH?

For Data Analytics Graduate jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Analytics Graduate jobs in Columbus, OH look for?

The top searched job categories for Data Analytics Graduate jobs in Columbus, OH are:

Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,990 per year, or $52.9 per hour.

Data Analytics Supervisor

Ohio Department of Taxation

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Join Our Team!

Accepting applications for a Data Analytics Supervisor

Who Are We?

The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life. 

Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:

  • Inclusion 

  • Partnership

  • Respect

What does a Data Analytics Supervisor do?

  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD). 

  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance. 

  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources. 

  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders. 

  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements. 

  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns. 

  • Responds to questions from county boards, providers, internal staff, and other stakeholders. 

  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making. 

  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.

  • Develops and maintains documentation, report definitions, business rules, and reporting standards.

  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders. 

  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.

  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.

  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.

  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.

  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.

  • Oversees data analytics college intern.

  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.

  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.

  • Performs other related duties as assigned.

72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training  in data analytics, statistical analysis, or research methods AND 12 months' experience  in supervisory &/or management principles & techniques. 
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 

OR

Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
OR
Equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation

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