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Data Analyst Computer Science Jobs in North Carolina

1 point system

Business Data Analyst

Greensboro, NC · On-site

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong ... Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field ...

Jobsultant Solutions

Data Analyst

Charlotte, NC · On-site

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

GDIT

Data Analyst

Concord, NC · Hybrid

$76K - $103K/yr

Data Science and Data Engineering Job Qualifications: Skills: Collaboration, Data Analytics, Data Science, Exploration, Statistical Analysis Certifications: None Experience: 2 + years of related ...

ClifyX

Data Analyst/Scientist

Charlotte, NC · On-site

ClifyX is seeking a Data Analyst/Scientist to support Duke Energy in tracking and reporting on key performance metrics. The role involves developing and maintaining standard program reports and ...

US Conec, Ltd.

Data Scientist - Metrology

Hickory, NC · On-site

... Computer Science, Engineering, or a related field. * Internship, co-op, academic project experience, or up to 2 years of experience in data analytics, statistics, engineering, or a related field.

IFABCORP

Data Scientist

Gastonia, NC · On-site

Required : • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) • Proven experience in data analysis, machine learning, or ...

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Data Analyst Computer Science information

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 in North Carolina are hiring for Data Analyst Computer Science jobs?

Cities in North Carolina with the most Data Analyst Computer Science job openings:

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.

Business Data Analyst

1 point system

Greensboro, NC • On-site

Contractor

Re-posted 10 days ago

Job description

Onsite Interview

Description:

  • Project Details/Why is this req open?
  • In charge of all of data for North America. Ensuring no bugs, and business gets their data. Slowly entering AI space, and in middle of data migration from on prem and into the cloud. Will be part of that journey. Ideally someone that is eager to learn new technologies and grow with them.
    • Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. 
    • With SQL - Knowing what’s in tables, SQL Server, Databricks, what is talking to what, etc.
    • Business uses Power BI but not critical, would be a plus to show data manipulation experience
    • Embed with business as they work with regularly
    • Task Example: New group that needs to be added into database tables. These tables talk here and there, which tables are missing in group, filter to understand which groups need to be added, then adjust accordingly
    • 10 week cycle with sprints inside depending on projects being supported (hybrid between Agile and Waterfall)
    • DevOps to document user stories (JIRA, Confluence, etc.)
  • Top Must-Haves:
    •  5+ years of Data Analysis exp. scripting with SQL and understanding relational databases
    •  BA skills, requirements gathering, working with business to translate function requests
    •  Strong soft skills-Ability to talk to the business
    •  Understanding of Agile and Waterfall methodologies
  • Pluses:
    • Databricks
    • Power BI
    • Python
    • Additional programming in Java, R

Education: Degree or equivalent exp.

Responsibilities:

  • Partner with product owners, product managers, data engineers, and business stakeholders to understand data requirements and business objectives.
  • Collect, clean, validate, and transform data from multiple sources to support analytics and reporting needs.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Design, develop, and support data solutions, including data flows, ETL processes, and ingestion pipelines.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, and Excel.
  • Translate business questions into technical data solutions that support decision-making.
  • Support ad hoc data requests and ongoing reporting needs.
  • Assist with data modeling, data mapping, and data management best practices.
  • Troubleshoot data quality and performance issues in development and production environments.
  • Document data solutions, technical designs, and best practices.
  • Present insights and technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with emerging data technologies, tools, and industry trends.

Experience:

  • 5+ years of experience in a Data Analyst, Business Analyst (data-focused), Data Engineering, or similar role.
  • Strong proficiency in SQL and Excel.
  • Hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
  • Solid understanding of data modeling, data structures, and data integration concepts.
  • Familiarity with cloud data platforms and concepts (Azure preferred).
  • Experience working with analytics and reporting from a business perspective.
  • Exposure to data integration tools such as Azure Data Factory or similar (preferred).
  • Experience with Python for data analysis or automation is a plus.
  • Knowledge of data governance, data privacy, and best practices is a plus.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills with the ability to translate complex data concepts into clear, actionable insights.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.