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Data Analyst Computer Science Jobs in North Carolina

Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a ...

$81K - $95K/yr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related) * Minimum 3+ years of professional experience in data analysis or a related field

Computer Science or related analytical discipline * Master's degree preferred. Experience * Experience working with operational, production, manufacturing, or engineering data preferred. * Experience ...

New

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a ... Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a ... Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

Senior Data Analyst

Raleigh, NC ยท On-site

$110/hr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a ... Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.

Role Summary The Data Analyst, Specialist is responsible for leveraging data-driven insights to ... Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics. * Strong proficiency in ...

Role Summary The Data Analyst, Specialist is responsible for leveraging data-driven insights to ... Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics. * Strong proficiency in ...

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 ...

Senior Data Analyst

Charlotte, NC

$84K - $106K/yr

Performs analyses of historical data to surface trends and insights using advanced analytical ... E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics or equivalent ...

New

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 ...

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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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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:
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.
Computer Science Teacher 2026-2027

Computer Science Teacher 2026-2027

Socrates Academy

Matthews, NC โ€ข On-site

$47K - $65K/yr

Full-time

Re-posted 12 days ago


Job description

Salary:

Grades 612 Computer Science Teacher

Position Type: Full-Time
Reports To: Head of Middle School



Position Overview

The Grades 612 Computer Science Teacher is responsible for developing and delivering a rigorous, engaging computer science program that builds foundational, intermediate, and advanced skills across middle and high school. As a newly established position, this role carries significant responsibility and professional autonomy in shaping curriculum, instructional pathways, and course offerings aligned to school goals and student needs. The teacher is expected to uphold high academic expectations, foster responsible technology use, and contribute to a strong school culture.


Should be able to teach any of the following courses:

e Code Course Title
CA10 Artificial Intelligence
CA21 Robotics I (NEW)
CA22 Robotics II (NEW)
CD10 Adobe Visual Design I
CD11 Adobe Visual Design II
CD14 Adobe Video Design I
CD15 Adobe Video Design II
CD20 3D Modeling and Animation I
CD21 3D Modeling and Animation II
CD30 Game Art and Design
CD31 Advanced Game Art and Design
CI00 CompTIA IT Fundamentals
CI01 Computer Engineering Technology I
CI02 Computer Engineering Technology II
CI10 Cisco Network Engineering Technology I
CI11 Cisco Network Engineering Technology II
CI20 Network Administration I
CI21 Network Administration II
CI30 Cybersecurity I
CI31 Cybersecurity II
CP05 Coding in Minecraft Expert Coding
CP10 Python Programming I
CP11 Python Programming II
CS10 Introduction to Computer Science
CS20 Computer Science I
CS21 Computer Science II
CS30 Introduction to Data Science
CS31 SAS Base Programming
CT10 Technology, Engineering, and Design

Primary Responsibilities

Instruction & Curriculum Development

  • Design and implement standards-aligned computer science courses for grades 612, including introductory through advanced content
  • Collaborate with administration to develop scope and sequence, pacing guides, and instructional resources
  • Deliver high-quality instruction that promotes computational thinking, problem solving, creativity, and collaboration
  • Integrate coding, data literacy, digital citizenship, and ethical technology use into daily instruction
  • Differentiate instruction to meet the academic, social, and developmental needs of all learners

Assessment & Student Progress Monitoring

  • Design and administer formative and summative assessments aligned to learning objectives
  • Analyze assessment data to inform instructional decisions and targeted supports
  • Provide timely, clear feedback to students and families on academic progress

Classroom Environment & Management

  • Establish and maintain a structured, inclusive, and engaging classroom environment
  • Implement schoolwide behavior expectations consistently
  • Promote responsible, safe, and appropriate use of technology

Program Development & Innovation

  • Contribute to the development of a coherent 612 computer science program, including electives, pathways, or advanced coursework
  • Provide input on instructional materials, software, hardware, and emerging technologies
  • Explore opportunities for interdisciplinary projects and extracurricular extensions

Professional Responsibilities

  • Collaborate with colleagues, administrators, and support staff
  • Participate in professional learning communities, meetings, and professional development
  • Communicate professionally and consistently with families
  • Fulfill all typical teaching duties, including lesson planning, grading, supervision, and documentation
  • Participate in school events, duties, and initiatives as assigned

Key Result Areas (KRAs) and Key Performance Indicators (KPIs)

KRA 1: Instructional Quality & Student Learning

KPIs:

  • Lessons consistently aligned to course objectives and approved standards
  • Observable student engagement during instruction
  • Evidence of student growth demonstrated through assessments and projects
  • Instruction reflects appropriate rigor and progression across grade bands

KRA 2: Curriculum & Program Development

KPIs:

  • Completion of a documented scope and sequence for grades 612
  • Development of course materials, assessments, and instructional resources
  • Alignment of curriculum with school priorities and future program expansion
  • Regular refinement of the curriculum based on student outcomes and feedback

KRA 3: Assessment & Data-Informed Instruction

KPIs:

  • Use of formative assessments to guide instruction
  • Timely entry and analysis of student performance data
  • Instructional adjustments documented based on assessment results
  • Clear communication of progress to students and families

KRA 4: Classroom Management & Learning Environment

KPIs:

  • Consistent implementation of schoolwide behavior expectations
  • Safe, respectful, and inclusive classroom culture
  • Effective use of instructional time with minimal disruptions
  • Responsible and appropriate technology use by students

KRA 5: Professionalism & Collaboration

KPIs:

  • Active participation in PLCs, meetings, and professional development
  • Timely completion of required documentation and responsibilities
  • Professional communication with families and colleagues
  • Willingness to collaborate and contribute to schoolwide initiatives

Qualifications

Required:

  • Bachelors degree in Computer Science, Information Technology, Education, or a related field
  • Teaching license or eligibility for licensure in the appropriate grade band or content area
  • Strong content knowledge in computer science and instructional technology

Preferred:

  • Experience teaching middle and or high school students
  • Experience with curriculum design or program development
  • Familiarity with project-based learning and real-world application of computer science