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Python Data Analysis Internship Jobs in Middlebury, VT

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Python Data Analysis Internship information

See Middlebury, VT salary details

$12

$23

$43

How much do python data analysis internship jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for python data analysis internship in Middlebury, VT is $23.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.58 per hour, depending on experience, location, and employer.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
Python Data Analysis Internship jobs near you
Lake Champlain Microbial Ecology and Bioinformatics SRA (Summer 2026 900572)

Lake Champlain Microbial Ecology and Bioinformatics SRA (Summer 2026 900572)

Middlebury College

Middlebury, VT • On-site, Remote

$15.20/hr

Part-time

Posted 5 days ago

Middlebury College rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

317th of 544 rated colleges and universities

Job description

This is position is paying $15.20 per hour.

This summer research assistant will work to analyze microbial amplicon, metagenomic, and viromic datasets. This will include dataset QA/QC, descriptive statistics, differential analysis, and working to elucidate meaninful descriptions of microbial communities across three Lake Champlain sites and similarities and differences across sites and between seasons

Core Responsibilities:

  • Utilize R and high performance computing resources for data analysis.
  • Keep detailed records and descriptive code to contribute to data analysis pipeline SOPs.
  • Complete data visualizations of microbial community data toward 1-2 manuscripts for publication.
  • Gain biological understanding of Lake Champlain microbial communities, and how they relate to site and seasonal differences

Requirements

  • Proficient in manipulating data using R and/or Python
  • Have taken one or more of these courses, or their equivalent, BIOL 211, STAT 116, STAT 118, STAT 201, CSCI 321
  • Ideally have taken BIOL 140 and/or BIOL 145, but not required.
  • Self-motivated and organized, good at managing self-directed schedule.
  • Can work remotely, on campus, or a mix of both, for ~40hrs/wk for 8-10 weeks summer 2026

Student Employment Eligibility:

Unless restricted by certain visa status, all students with an active status for the semester are eligible for jobs on campus.

Students on leave or withdrawn are not eligible to work in student employment positions until the semester in which they return. If you are currently withdrawn or on leave you are eligible to be employed in staff positions.

Some may be restricted due to financial aid status. International students (non-resident aliens) may not work off campus unless they have applied for and received work authorization from the United States government. (An F-1 visa does not give work authorization.) Off campus work study positions are available only to U.S. citizens on financial aid with a federal work study component.

Student are not eligible to work remotely from International locations.

Hour Limitations:

All student employees are limited to working no more than 20 hours per week in on campus jobs during the academic year (this includes exam periods). The only exception is when there is a full week when school is not in session. Specifically: February recess, Spring recess, and full weeks of December or summer recess. During these time periods only, students can work up to 40 hours per week. International Students: Visa restrictions prohibit international students from exceeding 20 hours of work per academic calendar week.

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