1

Temporary Data Analyst Intern Jobs in Tennessee (NOW HIRING)

The intern's primary project will be the development of a semi-automated image analysis tool for ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Review product data and shop drawing submittals during the construction phase. * Coordinate project ... We specialize in placing permanent, direct, contract, and temporary positions for companies of any ...

High School Intern

Oak Ridge, TN · On-site

$13 - $17.25/hr

Conducts special studies in conjunction with a project, analyzes data, and makes recommendations ... Must possess organizational and analytical skills. * Must possess general knowledge of Microsoft ...

Engineering Intern

Jackson, TN · On-site

$16 - $20.75/hr

Make Your Mark at Prysmian Group - Join Us Summer Intern - Full Time About the Role We're seeking a ... Proficient with Microsoft 365 (Word, Excel, PowerPoint); basic data analysis in Excel. Preferred ...

Engineering Intern

Jackson, TN · On-site

$16 - $20.75/hr

Make Your Mark at Prysmian Group - Join Us Summer Intern - Full Time About the Role We're seeking a ... Proficient with Microsoft 365 (Word, Excel, PowerPoint); basic data analysis in Excel. Preferred ...

Showing results 41-60

Temporary Data Analyst Intern information

What does a temporary data analyst intern do?

A Temporary Data Analyst Intern assists with collecting, processing, and analyzing data to support business decisions, usually for a set period such as a summer or semester. They may help with data cleaning, creating reports, and visualizing trends under the supervision of senior analysts. This role is designed to provide hands-on experience with data tools and techniques, allowing interns to apply theoretical knowledge learned in school to real-world projects. Interns often gain exposure to industry-standard software and can contribute to meaningful company initiatives.

What are the key skills and qualifications needed to thrive as a temporary data analyst intern, and why are they important?

To thrive as a Temporary Data Analyst Intern, you need foundational knowledge of statistics, data analysis, and proficiency in Excel or similar spreadsheet software, often supported by coursework in data science or a related field. Familiarity with tools like SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong attention to detail, curiosity, and effective communication skills help interns interpret data and convey insights clearly. These abilities are crucial for accurately supporting business decisions and gaining valuable experience in a data-driven environment.

What types of projects can a temporary data analyst intern expect to work on, and how do these projects support the broader team?

As a Temporary Data Analyst Intern, you can expect to work on projects such as cleaning and preparing datasets, generating reports, and creating visualizations to help the team make data-driven decisions. Your work will often directly support senior analysts and business stakeholders by providing them with actionable insights from raw data. This role typically involves collaborating with various departments, such as marketing or finance, to assist with ongoing initiatives or special projects. It's a great opportunity to gain hands-on experience with industry-standard tools and methodologies, while also learning how data analysis impacts business outcomes.

What is the difference between Temporary Data Analyst Intern vs Data Analyst?

AspectTemporary Data Analyst InternData Analyst
CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data analysis, statistics, or related field
Work EnvironmentInternship setting, often temporary or project-basedFull-time or part-time professional role in various industries
Employer UsageInternship programs, entry-level positions, or training rolesEstablished companies, requiring more experience and responsibility
Search/Comparison IntentUnderstanding entry-level or internship opportunitiesSeeking full-time data analysis roles

The main difference between a Temporary Data Analyst Intern and a Data Analyst is experience and employment status. Interns are usually students or recent graduates gaining practical experience, often in a temporary or internship capacity. Data Analysts are typically full-time professionals with more experience, responsible for ongoing data analysis tasks. Both roles require similar foundational skills, but the scope and expectations differ based on experience level and employment type.

What are the most commonly searched types of Temporary Data Analyst jobs in Tennessee?

The most popular types of Temporary Data Analyst jobs in Tennessee are:

Computer Science Intern

SkyNano

Knoxville, TN

Full-time, Internship

Re-posted 4 days ago


Job description

Job Title: Computer Science Intern

Location: Knoxville, TN | Full-Time, Summer 2026

Company: SkyNano LLC

About SkyNano

SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.

At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.

Position Summary

We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.

Key Responsibilities:

  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:

  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.

Other Requirements: Must be a U.S. Citizen.