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Data Analyst Computer Science Jobs in North Carolina

iTech US, Inc.

Data Analyst

Charlotte, NC · On-site

Data Analyst Location: Charlotte, NC (Hybrid) Employment Type: Contract Required Skills: * 5+ years ... At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics ...

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CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Public Health, Business Analytics, or a related field preferred. * Equivalent combination of education and ...

Compunnel

Data Analyst

Greensboro, NC · On-site

Required Qualifications • Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. • 5+ years of experience in a data analytics role. • Experience ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

VHB

Senior Transportation Data Analyst

Raleigh, NC

$98K - $148K/yr

Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline * Applicants must be legally authorized to work for VHB in the U.S. without ...

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Data Analyst Computer Science information

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 North Carolina as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 7% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Data Analyst

Careers - North Carolina's Electric Cooperatives | North Carolina's Electric Cooperatives

Raleigh, NC

$83K - $105K/yr

Full-time

Re-posted yesterday

Job description

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.

Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click “Apply”

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