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Python Data Analysis Internship Jobs in Monee, IL

ADDSOURCE

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions ... Develop and optimize data ingestion, processing, and analytics pipelines for structured and ...

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

... data analysis and statistics. · Familiarity with Power BI or Tableau. · Good analytical and ... Preferred Skills: · Python, especially Pandas and NumPy. · Power BI/DAX or Tableau. · Basic ...

BC Forward

Financial Data Analyst

Chicago, IL · On-site

$30/hr

Data analysis experience in financial services; accounting or finance background. Bachelor's degree preferred; fresh graduates with relevant internships considered. Role Details & Process: Work ...

Cccis

Data Science Engineer Internship

Chicago, IL · On-site

$20 - $43/hr

Python and SQL * Apache Airflow * Data governance and data quality What you'll do: * Build end-to ... analytics and model training. * Work with data across all three shapes: structured (relational ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Proven experience using Python for data analysis and modeling, including Jupyter Notebooks and common libraries and packages * Experience with version control systems such as Git * Experience with ...

Purple Carrot

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

Skilled in Python - for advanced analysis and automation, including building and running machine learning models. * Experience with data visualization tools (e.g., Looker, Omni, Sigma). * Strong ...

Graycor Inc.

Investment Analyst Internship

Chicago, IL · On-site +1

$950/wk

Financial Modeling & Analysis: Develop and refine financial models to monitor the performance of ... Data & Deal Flow Management: Help track deal flow and maintain accurate records in CRM databases ...

Grubhub

Senior Staff Data Scientist

Chicago, IL · On-site

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

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Python Data Analysis Internship information

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

As of Aug 22, 2026, the average hourly pay for python data analysis internship in Monee, IL is $21.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $23.70 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 Monee, IL are hiring for Python Data Analysis Internship jobs?

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

Python Data Analysis Internship jobs near you

Data Analyst II - SAS, R, and Python - Hybrid Chicago or Washington, DC Office

NORC at the University of Chicago

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

NORC at the University of Chicago rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

65th of 74 rated research

Job description

Data Analyst II - SAS, R, and Python - Hybrid Chicago or Washington, DC Office

Apply now Job no: 503874 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Statistics and Data Science

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python.

As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office.

DEPARTMENT:  Statistics and Data Science

The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI)  that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects.

RESPONSIBILITIES:
  • Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities.
  • Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation
  • Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries.
  • Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations.
  • Perform various types of data analysis and modeling, often involving multiple data sets.
  • Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics.
  • Apply AI tools to help improve efficiency.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required.
  • Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization.
  • At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining
  • Strong foundation in areas of statistics, mathematics, and data science.
  • Coding skills in SAS, R, and Python required.
  • Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred.
  • Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred.
  • Strong skills in problem solving and quantitative analysis are required.  Able to organize and prioritize work assignments to meet project needs.
  • Outstanding interpersonal and critical reasoning skills.
  • Proficiency with MS Office software.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
SALARY AND BENEFITS:

The pay range for this position is $72,000 - $88,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: August 14, 2026 Central Daylight Time Applications close:

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