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Data Analyst Computer Science Jobs in Columbus, OH

Bachelor's degree in Computer Science, Information Technology, or a related field. * Proven 3-5 years of experience in a Data Analyst role. * Strong proficiency in AWS services (S3, Redshift, Lambda ...

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

Analyze data to identify trends, patterns, and insights that can inform project strategies ... Bachelor degree in Business, Computer Science, Mathematics or related field and two years related ...

Analyze data to identify trends, patterns, and insights that can inform project strategies ... Bachelor degree in Business, Computer Science, Mathematics or related field and two years related ...

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business * Prior data analysis experience with Big Data technologies and willing/adapting ...

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Data Analyst Computer Science information

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$32.8K

$79.8K

$131.4K

How much do data analyst computer science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data analyst computer science in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What job categories do people searching Data Analyst Computer Science jobs in Columbus, OH look for? The top searched job categories for Data Analyst Computer Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Analyst Computer Science jobs? Cities near Columbus, OH with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Columbus, OH as of June 2026, with employment types broken down into 1% Internship, 46% Full Time, 47% Part Time, 4% Contract, and 2% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.

Full-time

Posted 15 days ago


Job description

What You Will Do at ODM:

Office: Data & Integrated Systems

Bureau: Strategic & Performance Analytics

Classification: Data Scientist Supervisor (PN 20102048)

 
Job Overview:

The Ohio Department of Medicaid (ODM) is seeking an experienced data analytics and science professional to lead our enterprise dashboarding and data visualization initiatives. This role provides the opportunity to make a meaningful impact by advancing data visualization, optimizing dashboard performance, and informing the health care of millions of Ohioans. The position oversees the Dashboard Operations Team and guides contractor resources to deliver highquality visualization products across the agency. As a Data Scientist Supervisor, your responsibilities will include:

  • Serving as the organization's data visualization subject matter expert (SME).
  • Overseeing the development of interactive Medicaid dashboards that support program operations, policy monitoring, and transparency for constituents.
  • Creating an agile dashboard development framework, overseeing Tableau cloud migration initiatives, and providing analytics governance recommendations.
  • Collaborating with the Business Intelligence Team to develop WCAG 2.1 AA compliant public-facing dashboards, including the creation of enhanced desk aides and best-in-class tutorials.
  • Integrating advanced Graphic Information System (GIS), geospatial methodologies, and statistical techniques into dashboards to deliver timely, data-driven insights.
  • Coordinating with contractors and vendors to scale dashboard production, improve user experience, and implement intuitive design and functionality.
  • Providing supervision, coaching, and professional development to staff, fostering a collaborative and innovative team environment.

The preferred candidate will have experience using large relational databases and data visualization tools (e.g. Tableau and GIS), familiarity with cloud solutions, and have strong communication skills. They will have a passion for managing, coaching, and developing staff members as well as the ability to be self-directed in a fast-paced environment.

72 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. 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; 54 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. 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; 48 mos. exp. in data analytics, statistical analysis, or research methods. 12 mos. exp. in supervisory &/or management principles & techniques. 

-Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field; 36 mos. exp. or trg. 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

Technical Skills: Data Visualization

Professional Skills: Coaching, Collaboration, Leading Others, Analyzation