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Python Data Analysis Internship Jobs in Herrin, IL

... data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R ...

This internship provides an excellent opportunity for students in areas of study such as ... Organize and analyze data related to maintenance requests, projects, and vendor activities * Assist ...

Senior Accountant

Marion, IL · On-site

$68K - $85K/yr

Display analytical skills with an orientation to focus on details and accuracy. * Proficiencyin ... data. To read more on our privacy policy, please go to #J-18808-Ljbffr

Senior Accountant

Marion, IL · On-site

$68K - $85K/yr

Display analytical skills with an orientation to focus on details and accuracy. * Proficiencyin ... data. To read more on our privacy policy, please go to #J-18808-Ljbffr

Python Data Analysis Internship information

See Herrin, IL salary details

$11

$22

$41

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

As of Sep 13, 2026, the average hourly pay for python data analysis internship in Herrin, IL is $22.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.13 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?

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 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.

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 cities near Herrin, IL are hiring for Python Data Analysis Internship jobs?

Cities near Herrin, IL with the most Python Data Analysis Internship job openings:

Infographic showing various Python Data Analysis Internship job openings in Herrin, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,048 per year, or $22.1 per hour.

Research Associate 3, 4, or 5

Energy, IL • On-site

Louisiana Workforce Commission
Public Administration • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Research Associate 3, 4, or 5Position Type:Other AcademicDepartment:LSUAM ORED - Center for Energy Studies (Gregory Brian Upton Jr. (00009417))Work Location:1067 Energy, Coast, and Environment BuildingPay Grade:Job Description:

This position provides support for the Center for Energy Studies' data-driven research and analysis activities, combining experience in energy economics, statistical modeling, database management, and web application development. The Research Associate will manage energy databases from national and state database systems (SONRIS, EPA, EIA, etc.), conduct econometric analysis, develop interactive data visualizations and support web applications development and Act 727 implementation for state energy data dissemination. Responsibilities include statistical analysis of energy markets and infrastructure, database development and maintenance, support data-driven web application development, and contributing to research initiatives such as the Gulf Coast Energy Outlook and energy policy studies. The candidate will combine quantitative analytical skills with technical programming capabilities to support data-driven research and information systems.

Job Responsibilities:

Research Associate 3:

Under the instruction of a supervisor, work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in build and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

As instructed under the supervision of a supervisor: conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with supervisor to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field or a bachelor's degree in a related field and two years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Master's Degree and one year of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or a closely related quantitative field. Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Research Associate 4

Partner with leadership to work to design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Assist in building and optimizing database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Work with leadership to conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Help develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Support the development of interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Support research initiatives including Gulf Coast Energy Outlook, white papers, and policy studies. Conduct literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Work with leadership to maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Master's degree in a related field and two years of related experience or a bachelor's degree in a related field and four years of related experience in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Master's Degree and more than two years experience in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience.

Professional certifications in data analytics or database management.

Research Associate 5

Design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other federal and state sources. Build and optimize database structures, ETL pipelines, and automated data processing workflows. Perform data quality control, validation, and documentation. Support Act 727 implementation for Louisiana energy data repository. Ensure data accessibility, security, and compliance with standards. (30%)

Conduct statistical analyses of energy markets, production trends, infrastructure development, and employment pattern. Apply econometric methods including regression analysis, time series modeling, and forecasting techniques. Develop predictive models for energy production, drilling activity, and market behavior. Perform hypothesis testing, sensitivity analyses, and scenario modeling. Support economic impact assessments and cost-benefit analyses. (20%)

Develop interactive web-based data applications, dashboards, and visualization platforms using modern frameworks and tools. (10%)

Lead research initiatives including Gulf Coast Energy Outlook, write papers, and policy studies. Lead literature reviews, collect and validate data, and perform analyses at direction of faculty. Prepare data tables, statistical summaries, and visualizations for reports and publications. Contribute to methodology sections and technical documentation. Collaborate with faculty, research fellows, and external partners on interdisciplinary projects. (10%)

Maintain technical systems using programming languages including Stata and R. (10%)

Coordinate with state agencies (Louisiana Department of Conservation and Energy) on data initiatives. Document data sources, methodologies, and system architectures. Provide technical support for data users and stakeholders if required. (10%)

Other duties as assigned. (10%)

Minimum Qualifications:

Bachelor's degree and six years of related experience OR a master's degree and two years of related experience OR a terminal degree (Ph.D.) in Economics, Computer Science, Statistics, Data Science, Information Systems, Mathematics, or closely related quantitative field.

Professional experience combining data analysis, statistical modeling, database management, and web application development. Demonstrated proficiency with one or more programming and scripting languages such as Stata, SQL, Python, R, or SAS. Experience working with energy or government datasets. Skills in data visualization and dashboard development. Knowledge of econometric methods and statistical analysis.

Preferred Qualifications:

Ph.D in Economics, Applied Economics, Data Science, Computer Science, or related quantitative field with strong programming emphasis.

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny, React or similar); experience in data visualization platforms (Excel, Tableau, Power BI); experience with econometric modeling and time series analysis; knowledge of Louisiana and Gulf Coast energy sector; experience with GIS and spatial analysis; familiarity with cloud platforms and modern data architectures; experience coordinating with government agencies on data initiatives; publication or technical report writing experience. Professional certifications in data analytics or database management.

Additional Information:

Physical ability and eye-hand coordination necessary to use a computer terminal, copier, telephone, and other standard office equipment; ability to sit in the same position for extended periods (5.5+ hours a day) at a time using continuous hand motions when entering data into the computer system.

Additional Job Description:Special Instructions:Please provide a cover letter, resume, and three (3) professional references including name, title, phone number, and e-mail address.
Please attach ALL required documents under the "Resume/CV" section of your application.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.
Due to the nature of the position and/or position responsibilities, this position shall be subject to pre-employment screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).
For questions or concerns about updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.
For questions or concerns regarding the status of your application or salary ranges, please contact Dr. Greg Upton at gupton3@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:June 22, 2026Closing Date (Open Until Filled if No Date Specified):October 21, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportuniti...


Louisiana Workforce Commission logo

About Louisiana Workforce Commission

Sourced by ZipRecruiter

The Louisiana Workforce Commission’s vision is to make Louisiana the best place in the country to get a job or grow a business, and our goal is to be the country's best workforce agency. Our mission is simple and straightforward – we put people to work. Today, the LWC is ideally positioned and structured to support and serve Louisiana’s employers, job seekers and workforce partners.

Industry

Public administration

Company size

11 - 50 Employees

Headquarters location

Baton Rouge, LA, US

Year founded

2008