1

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 ...

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 Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field. * 5+ years of progressive experience in data analysis, business ...

New

Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field. * 5+ years of progressive experience in data analysis, business ...

New

Senior Data Analyst

Dublin, OH ยท On-site

$81K - $102K/yr

Bachelor's degree preferred in a quantitative field (Computer Science, Statistics, Mathematics ... Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.

A Bachelor of Science degree (or equivalent) from an accredited university or college related to data management, analytics or computer science with 2 years of relevant technical experience; or an ...

Review student level data frequently to inform instructional program adjustments * Differentiate instruction to meet the needs of all students * Utilize research-based best practices in both ...

next page

Showing results 1-20

Data Analyst Computer Science information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

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

As of Aug 7, 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.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

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 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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.

Data Engineer/Analyst

iSpace, Inc

Raymond, OH โ€ข On-site

$57/hr

Other

Re-posted 10 days ago


Job description

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *****

Title: Data Analyst / Engineer

Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote)

Contract Duration: 14+ months

Rate: $57/hr on W2

What will this person be working on

In this role, person will be responsible for conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

TOP SKILLS

Requirements:

  • 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, etc.).
  • Excellent analytical and problem-solving skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong SQL skills and familiarity with database management.
  • Ability to lead and manage tasks and activities effectively.
  • Excellent communication and collaboration skills.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Preferred Qualifications:
  • Experience with machine learning and AI tools.
  • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.
  • Knowledge of data warehousing concepts and ETL processes.