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The Center of High-Performance Systems (CHiPS) laboratory is currently seeking a motivated and detail-oriented student to join our Quality Assurance team as a Junior Data Analyst Intern for an ongoing State of Texas contract project. Click here to read about the project.

This role is ideal for students who understand the basics of data analysis, are comfortable working with structured data, and can clearly explain their reasoning, assumptions, and findings.

The successful candidate will support data collection, cleaning, analysis, visualization, and reporting using tools such as Excel, Power BI, R, and university-provided AI tools. Prior experience with R is helpful but not required. More important is the ability to understand data concepts, review outputs critically, and avoid blindly relying on generated code, automated results, or an existing codebase without understanding what is happening.

The position will start immediately and continue based on performance. Hours are flexible around the student's school schedule; however, consistent time commitment is required. Candidates should demonstrate reliability, time management skills, and clear communication.
 

Core Job Responsibilities

  • Collect and organize experimental and testing data using Excel, ensuring accuracy, completeness, and consistency
  • Clean, validate, and prepare datasets for analysis using appropriate tools such as Excel, Power BI, R, or university-provided AI tools
  • Conduct basic data analysis, including summaries, comparisons, trends, and simple statistical interpretations
  • Create clear tables, charts, dashboards, or reports using Excel and/or Power BI
  • Use AI tools responsibly to assist with coding, analysis, documentation, or troubleshooting while verifying outputs and understanding the underlying logic
  • Review analysis results for errors, inconsistencies, or unsupported conclusions before sharing with the team
  • Document analysis steps, assumptions, methods, and findings in a clear and organized manner
  • Work closely with the research team to identify and correct data quality issues
  • Contribute to the development and implementation of quality assurance practices
  • Participate in team meetings, providing updates on analysis findings, progress, and challenges
     

Required Qualifications

  • Basic understanding of data analysis concepts, such as data cleaning, summaries, trends, comparisons, and simple statistical measures
  • Familiarity with Excel for organizing, cleaning, and summarizing data
  • Ability to interpret data outputs and explain what the results mean in plain language
  • Willingness to learn and use tools such as Power BI, R, and other TXST-provided AI tools
  • Ability to use AI-generated code or suggestions critically by reviewing, testing, and understanding the results before applying them
  • Strong attention to detail with a focus on accuracy, consistency, and data quality
  • Excellent written and verbal communication skills
  • Proven problem-solving skills and the ability to work independently
  • Ability to manage time effectively and ask thoughtful questions when clarification is needed
     

Preferred Qualifications

  • Experience with Power BI, dashboards, or other data visualization tools
  • Exposure to R, Python, SQL, or similar tools for data analysis is helpful but not required
  • Experience using AI tools for coding, debugging, data cleaning, or documentation
  • Coursework or project experience involving statistics
  • Experience preparing reports, presentations, or dashboards for technical or non-technical audiences 

 

Application Requirements

  • Resume
  • A cover letter limited to one page that clearly demonstrates how your skills and past projects align with the core responsibilities and qualifications. Any cover letters exceeding one page will not be considered.
    • In the cover letter, applicants are encouraged to briefly describe a class project, work project, or personal project where they collected, cleaned, analyzed, or visualized data; how they checked their work for accuracy; and how they would use AI tools responsibly without blindly trusting generated code or outputs.
       

Evaluation Process

Interview selection and decisions will be communicated to applicants via TXST email or Handshake.
 

Timeline

  • Review all submissions by June 14
  • Initial interviews will be scheduled continuously as applications come in
  • Final decision by June 21

 

Direct Supervisor
Abhimanyu Sharotry, absharotry@txstate.edu

 

Post-Hiring

  • Supervisor will hold bi-weekly meetings to assess student performance
  • Detailed evaluations will be conducted at the end of each long semester
  • Performance-based pay increases possible after one semester

 

Pay Rate Determination

The starting pay rate is $14/hr. Increases may occur based on performance or a positive evaluation at the beginning of Fall 2026 semester. Click here to access the University Pay Plan resources.