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Data Analyst Computer Science Jobs in Columbus, OH

Ability to use advanced analytics methods to extract value from business data. * Ability to perform ... Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision ...

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 ...

Required : • Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered. • 2-5 ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

... Science, or a related field; MBA or advanced degree a plus 3-5+ years of experience in data analysis, customer analytics, or marketing analytics Strong experience working with customer databases and ...

Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered. * 2-5 years of experience ...

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

... Science and Big Data Mining projects. • Design, manage, and deliver analyses for all operational departments via complex workflows and statistical modeling. • Collaborates with team members and ...

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

... Science and Big Data Mining projects. · Design, manage, and deliver analyses for all operational departments via complex workflows and statistical modeling. · Collaborates with team members and ...

Sr Analyst, Data Solution Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

As a Data Solution Analyst, you'll translate functional data and analytic requirements into ... Undergraduate studies in computer science, management information systems, business, statistics ...

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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 15, 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.

Other

Posted 13 days ago


Job description

Role: Data Scientist

Location: Columbus, OH - Only Locals

Duration: Long Term

Duties and Responsibilities:

  • Ability to use advanced analytics methods to extract value from business data.
  • Ability to perform large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Influences product teams through presentation of data-based recommendations.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
  • or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years work experience in analytics or data science
  • Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
  • Work and/or educational experience with big data analysis tools and techniques
  • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
  • Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)