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Data Analyst Computer Science Jobs in Columbus, OH

The Team: You will be joining a team of analytics and data science professionals within the ... Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision ...

Data Scientist

Columbus, OH ยท On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Evaluate emerging technologies and analytical tools and recommend adoption when beneficial. Essentials: * Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information ...

Understands use of master and reference data including sources and contributors. - Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a ...

Lead Data Scientist

Columbus, OH ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Lead Data Scientist

Columbus, OH ยท On-site

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Showing results 41-60

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 22, 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 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.

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.

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

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 Scientist - w2

Sidram Technologies

Columbus, OH โ€ข On-site

Contractor

Re-posted 5 days ago


Job description

Data Scientist

Contract to Hire

Location - Columbus, OH

 

Summary:

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.

The Team:

You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.

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 degre 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)
  • Financial Services background

About Candidate:

  • A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
  • Experience in banking or financial services is a plus

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com  

Direct: 4705239688

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