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Data Analyst Computer Science Jobs in Columbia, SC

Artefact

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Work closely with data architects, analysts, and other stakeholders to understand business ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 2+ years of ...

Pwc

Payer Healthcare Data Scientist, Manager

Columbia, SC

$99K - $232K/yr

... science and machine learning methodologies to analyze vast claims and clinical data - Generate ... Computer Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ...

Ourhrconnect

Benefit Files Analyst I

Columbia, SC · On-site +1

We operate one of the most sophisticated data processing centers in the Southeast. We also have a ... Bachelor's Degree in Computer Science, Mathematics, Management of Information Systems (MIS) or ...

Ourhrconnect

Benefit Files Analyst I

Columbia, SC · On-site

Responds promptly to quality results allowing for the appropriate updates, data analysis and / or ... Bachelor's Degree-in Computer Science, Mathematics, Management of Information Systems (MIS) or ...

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Showing results 1-20

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 15, 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.
Cybersecurity Analyst(Local to SC)

Cybersecurity Analyst(Local to SC)

American Business Solutions, Inc.

Columbia, SC • On-site

Full-time

Posted 12 days ago

Job description

Overview:
Required Skills
Bachelor's degree in cybersecurity, information technology, computer science, or a related field is required; equivalent experience may be considered.
Security certification such as CompTIA Security+ or GIAC Security Essentials (GSEC) is required.
3+ years of experience supporting enterprise cybersecurity operations, including threat monitoring, incident response, and risk analysis.
3+ years of hands-on experience working with data protection technologies such as data loss prevention (DLP), insider risk management tools, and data security posture management for AI (DSPM for AI).
3+ years of experience reviewing and triaging data related security alerts, analyzing access and movement of sensitive information, documenting findings, and escalating incidents according to established procedures.
3+ years of collaborating with technical and nontechnical teams to resolve security issues and supporting
Preferred Skills
Certifications: Microsoft SC100, SC200, CEH, or an Associate level CISSP.
Experience working with AI driven security tools, Cortex, particularly DSPM platforms designed to manage sensitive data used by AI systems
Experience finetuning DLP policies, refining insider risk alerts, or supporting data governance programs
Familiarity with Azure security, identity-based access controls, conditional access, and security automation or scripting
Skills:
CompTIA Security+ or GIAC Security Essentials (GSEC) is required.

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