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Data Analyst Computer Science Jobs in Columbia, SC

TMS

Data Modeler

Columbia, SC · On-site

$55 - $56/hr

Conduct data analysis, and quality assurance to ensure data integrity and consistency * Implement ... Bachelor's or Master's degree in Computer Science, Information Systems or a related field * 4+ ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

InstantServe LLC

Security Analyst

Columbia, SC · On-site

... working with data protection technologies such as data loss prevention (DLP), insider risk ... computer science, or a related field is required; equivalent experience may be considered. A ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Columbia, SC

Data Analyst Computer Science information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

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

As of Jul 13, 2026, the average yearly pay for data analyst computer science in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

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.

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 algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Columbia, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.
Data Scientist- AFCENT

Data Scientist- AFCENT

Credence

Shaw Air Force Base, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview

This role is being passively advertised to build a pool of qualified candidates for future openings as they become available.

At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. 

Credence has an upcoming need for a Data Scientist to support of the 9AF (AFCENT) Intelligence Directorate (9AF (AFCENT)/A2) Directorate mission in the United States Central Command (USCENTCOM) area of responsibility (AOR) and Shaw Air Force Base (AFB), SC 29152.

Responsibilities include, but are not limited to the duties listed below:
  • Provide expert support as a member of an analytic team working to innovate data-based solutions for USCENTCOM directed efforts to counter adversary SSM capabilities, producing new tactics, methods, models to be leveraged across the intelligence community.
  • Leverage all formal and informal analytic exchanges, as well as training opportunities, in order to understand data requirements and translate them into technical solutions. Build Data visualizations and reports on findings. Document data engineering processes, procedures, and standards for future reference. Communicate findings to stakeholders in a clear and concise manner
  • Maintain specialized intelligence and operations community accesses pertinent to their functional area (Alternate Compensatory Control Measures (ACCM) and access to Special Access Programs (SAP) information), to enhance situational awareness and planning support. Assist in designing, developing, and maintaining data pipelines, ensuring smooth data flow from diverse sources into our data warehouse. Develop and deploy machine learning models. Develop and implement data-driven solutions to complex problems
  • Generate actionable insights using predictive statistical models, segmentation analysis, threat profiling and data mining. Help optimize and tune data pipelines for performance and reliability.
  • Stay up to date with emerging data engineering technologies and best practices to contribute innovative ideas and improvements. Work with a variety of stakeholders to gather and understand data requirement. Collaborate with data scientists and software engineers to implement efficient and scalable data processing solutions.
  • Excellent written and oral communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and the ability to work both independently and as part of a team

Requirements

  • Minimum Top Secret security clearance with Sensitive Compartmented Information (TS/SCI) eligibility.
  • Bachelors in Statistics, Mathematics, Computer Science, Machine Learning, or any other related quantitative field with 10 years of experience.
  • Three to five (3-5) years of hands-on experience in AI/ML development
  • Proficiency in using Python and common AI/ML libraries and frameworks
  • Experience with SQL and relational databases 
  • Formal Intelligence Analysis training. Plus but not required
  • Experience analyzing and briefing adversary surface-to-surface missile capabilities. 
  • Experience with structured analytic techniques to develop new solutions for analytic gaps
  • Working knowledge of US Air Force Collection, Targeting, and Planning Processes
  • Working knowledge of USCENTCOM AOR, political/military threats, understanding of violent extremist organizations, terrorist organizations; working knowledge of intelligence analysis and TTPs. 
  • Proficient in utilizing standard computer applications and intelligence related automation to support analytical efforts and product development 

Preferred: Experience working with structured data and data scientists to develop analytic solutions to complex intelligence problems

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development

Apply