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Data Analyst Computer Science Jobs in Cary, NC (NOW HIRING)

Analyze large-scale legal datasets to extract insights and improve model performance. * Establish ... Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ...

... analytical tools to address specific business challenges Qualifications : Required : • Strong understanding of data science concepts, including statistical learning and machine learning algorithms ...

Senior Data Engineer #4885

Durham, NC · On-site

$86 - $106/hr

... Computer Science, Statistics, Informatics, Information Systems, Engineering, Data Science, Life Sciences, or a related quantitative field. * 5+ years of relevant experience as a data analyst ...

Train, characterize, and analyze model predictive performance against ground truth * Explore and ... Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a ...

Bachelor's degree in computer science or related field. #LI-ARK1 CGI is required by law in some ... Data Analysis * Data Migration * Data Quality Management * Diagnostics & Resolution * ETL * Health ...

Power BI Data Analyst Associate * Additional relevant industry certifications are highly welcomed. Education Bachelor's degree in computer science or management information systems. Minimum of five ...

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Power BI Data Analyst Associate * Additional relevant industry certifications are highly welcomed. Education Bachelor's degree in computer science or management information systems. Minimum of five ...

Showing results 41-60

Data Analyst Computer Science information

See Cary, NC salary details

$31.5K

$76.6K

$126K

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

As of Sep 3, 2026, the average yearly pay for data analyst computer science in Cary, NC is $76,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 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 Cary, NC are hiring for Data Analyst Computer Science jobs?

Cities near Cary, NC with the most Data Analyst Computer Science job openings:

Infographic showing various Data Analyst Computer Science job openings in Cary, NC 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 $76,559 per year, or $36.8 per hour.

Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

Celonis

Raleigh, NC

$111K - $133K/yr

Full-time

Re-posted 6 days ago


Job description

The Team: Global Value Engineering Center of Excellence

Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business, partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges.

We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. 

The Role: Launch Your Enterprise Software Career

Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.

Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:

  • Building and coding within the Celonis platform (SQL and PQL)
  • Scoping business and technical requirements
  • Effectively handling objections
  • Developing industry domain knowledge
  • Delivering impactful presentations and demos
  • Understanding value selling and realization
  • Managing customer accounts

What You'll Do:

  • Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
  • Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.
  • Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
  • Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers' strategy, business initiatives, and challenges
  • Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
  • Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
  • Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
  • Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.

Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives.

  • Partner with the implementation services team to ensure successful value realization for customers.
  • Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development.
  • Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.

What You Need:

  • Bachelor's degree in Engineering, Data Analytics, Industrial Engineering, Computer Science, Mathematics, or a related STEM field.
  • Extensive internship experience or 1-3 years of full-time work experience.
  • Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution.
  • A strong passion for technology, big data, and its transformative potential.
  • Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
  • A customer-centric mindset with a focus on delivering value.
  • The ability to build relationships with senior management and influence decision-making.
  • Confidence in presenting to diverse audiences.
  • A proactive approach to problem-solving, with a willingness to learn from mistakes.
  • Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
  • Strong organizational skills with the ability to prioritize and execute on deadlines.
  • Excellent communication skills and fluency in English.

Bonus Points:

  • GPA of 3.6 or higher.
  • Degree in Computer Science or Data Science or a similar field.
  • Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills.
  • Experience with Python and Machine Learning.
  • Customer-facing, customer success/service, or sales experience.
  • Experience with Proof of Concept projects.
  • Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
  • Finance process experience (Accounts Payable, Accounts Receivable).
  • Experience modeling ROI and TCO for business case justification.
  • Experience with SAP and/or Oracle.
  • Fluency in French and/or Spanish.

Visa sponsorship is not offered for this role.