1

Computer Science Analyst Jobs (NOW HIRING)

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Proficient with simulation tools used for analysis (Matlab, Simulink) * Proficient in programming ... Pursuing a B.S. in Computer Engineering, Computer Science or a related field. * Knowledge and ...

Proficient with simulation tools used for analysis (Matlab, Simulink) * Proficient in programming ... Pursuing a B.S. in Computer Engineering, Computer Science or a related field. * Knowledge and ...

Data Science Analyst - Remote

Brentwood, TN ยท On-site +1

$75K - $87K/yr

Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in a BI or analytics role focused on manipulating data and ...

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Support integration of analysis features and image segmentation tools. * Help test and debug new ...

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Support integration of analysis features and image segmentation tools. * Help test and debug new ...

next page

Showing results 1-20

Computer Science Analyst information

See salary details

$14

$34

$65

How much do computer science analyst jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for computer science analyst in the United States is $34.05, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.66 per hour, depending on experience, location, and employer.

How do I become an IT analyst?

To become a computer science analyst, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data analysis, programming languages, and IT systems is important, along with certifications such as CompTIA or Cisco. Strong analytical skills and knowledge of database management and cybersecurity are also valuable for this role.

How does a Computer Science Analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

Is computer science dead due to AI?

As a Computer Science Analyst, the field remains vital as AI advances, requiring expertise in algorithms, programming, and data analysis. AI creates new opportunities for software development, research, and system design, making computer science an evolving and essential discipline.

What are the key skills and qualifications needed to thrive as a Computer Science Analyst, and why are they important?

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

What does a computer science analyst do?

A computer science analyst evaluates and develops computer systems, software, and data solutions to improve organizational efficiency. They analyze technical requirements, design algorithms, and may use programming languages and tools like SQL or Python to implement solutions, often working in teams and adhering to project deadlines.

Will AI replace system analyst?

A computer science analyst, including system analysts, works to design and improve information systems. While AI can automate certain tasks like data analysis and system monitoring, human analysts are essential for understanding complex business needs, making strategic decisions, and managing system implementation. Therefore, AI is more likely to augment rather than fully replace system analysts.
More about Computer Science Analyst jobs
What cities are hiring for Computer Science Analyst jobs? Cities with the most Computer Science Analyst job openings:
What states have the most Computer Science Analyst jobs? States with the most job openings for Computer Science Analyst jobs include:
Infographic showing various Computer Science Analyst job openings in the United States 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 $70,833 per year, or $34.1 per hour.

Program Data Science Analyst

AEVEX

Tampa, FL โ€ข On-site

Other

Posted yesterday


Job description

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

  • Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
  • Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
  • Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
  • Build tools and automation to streamline data ingestion, transformation, and analysis.
  • Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
  • Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
  • Design, develop, test, and document data science microservices and analytical applications
  • Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
  • Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
  • Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
  • Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
  • Develop and analyze key performance indicators (KPIs) to monitor project health and success.
  • Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
  • Maintain and update project management tools and systems
  • Generate detailed project reports, dashboards, and presentations for stakeholders.
  • Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
  • Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
  • Ensure that all project documentation is stored and organized according to PMO standards
  • Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

  • Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
  • Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
  • Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

  • Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
  • Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
  • Proficiency in Python; experience with C++, Java, or R is beneficial
  • Familiarity with AI/ML tools supporting logistics or operational use cases.
  • Ability to quickly learn new tools and technologies.
  • Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
  • Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
  • Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
  • Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
  • Collaborative team player with strong interpersonal skills.
  • Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

  • Bachelor's degree in business administration, data analytics, or a related field.
  • Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
    • Additional applicable experience may be substituted for formal education.
  • Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

  • 5+ years of experience using data science, machine learning, or advanced analytics
  • 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
  • Experience in data management, reporting, or process improvement roles is preferred. Experience with BI tools (Tableau, PowerBI, Qlik).
  • Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
  • Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
  • Experience communicating analytical findings through visualizations and presentations.
  • Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
  • Experience working with structured, unstructured, or semi-structured data and conducting analysis
  • Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

  • Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

  • Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
  • Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.