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Data Analytics Jobs in Columbus, OH (NOW HIRING)

NiSource, Inc.

Sr Data & Analytics Developer

Columbus, OH · On-site

$96K - $144K/yr

Senior Data and Analytics Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus Way of Work: Hybrid - 3 days on location Location: Columbus, OH Relocation assistance provided ...

NiSource

Sr Data & Analytics Developer

Columbus, OH · On-site

$96K - $144K/yr

Senior Data and Analytics Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus Way of Work: Hybrid - 3 days on location Location: Columbus, OH Relocation assistance provided ...

Workiva

Spring 2027 Intern - Data Analytics

Columbus, OH · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

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All JobsData Analytics JobsData Analytics Jobs in Columbus, OH

Data Analytics information

See Columbus, OH salary details

$22

$51

$88

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Columbus, OH is $51.15, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $57.93 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

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

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

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

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

What cities near Columbus, OH are hiring for Data Analytics jobs?

Cities near Columbus, OH with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Columbus, OH as of August 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,397 per year, or $51.2 per hour.

Data Analytics Specialist

Ohio Department of Taxation

Columbus, OH • On-site, Remote

Full-time

Posted 4 days ago

Job description

Ohio Department of Public Safety - Ohio Emergency Medical Services
Report In Location - 1970 W. Broad Street, Columbus, Ohio 43223

Perks of Working for the Ohio Department of Public Safety
   Multiple pay increases over your first years of service!
   Free Parking!
   Free Gym Access and Walking Path!
   Onsite Cafeteria! 
   Onsite Daycare!

What You'll Do as a Data Analytics Specialist
   Researches complex data requests & collaborates with Epidemiology Investigators to identify business problems & opportunities to create dashboards to help management identify new data trends & recommend new solutions;
   Collects, analyzes, & documents business requirements for project proposals; Employs analytical results to address business problems &/or opportunities in formats accessible to non technical staff & stakeholders;
   Supports data specialists & scientists in guiding business leaders regarding interpretation & applicability of findings (e.g., program effectiveness, resource allocation, patient care best practices, impact on & patient outcomes, etc.);
   Identifies & validates data sets; Identifies missing or incomplete data & variables in the EMSIRS & OTR data; Analyzes relevant data to understand business patterns & trends;
   Works with Epidemiology Investigators to investigate & resolve data discrepancies across EMS data systems;
   Utilizes Tableau & Statistical Analysis Software (SAS) to complete data visualization requests using Emergency Medical Services Incident Reporting System (EMSIRS) & Ohio Trauma Registry (OTR);

Click here to see full position description
 

OPTION 1:
48 mos. exp. in data analytics or statistical analysis or research methods.

OPTION 2:
-Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 
AND 30 mos. exp. in data analytics, statistical analysis, or research methods.

OPTION 3:
-Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 
AND 24 mos. exp. in data analytics, statistical analysis, or research methods.

OPTION 4:
-Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 
AND 12 mos. exp. in data analytics, statistical analysis, or research methods.

OPTION 5:
-Or 36 mos. exp as a Data Analytics Associate, 66930.

-Or equivalent of Minimum Class Qualifications for Employment noted above.

Helpful Tips for Applying:
1.    Be detailed when describing your current/previous work duties.  The more the better!!  Don't just write "see attached resume".
2.    Tailor your application for each position you apply for.  You should clearly describe how you meet the minimum qualifications outlined in this job posting.
3.    Respond to all questions asked.  If you do not have the education/training/experience that is being asked, select either "No" or "N/A.

Job Skills: Data Analytics
 

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