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Python Data Analysis Internship Jobs in Naperville, IL

Hudson Manpower

Senior Data Analytics Engineer

Chicago, IL · On-site

$40 - $50/hr

The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices. Responsibilities * Design and maintain analytics solutions across ...

Definian

Associate Consultant

Chicago, IL · On-site

$72K - $94K/yr

You'll learn core skills in SQL, Python, data transformation, and enterprise applications (Oracle ... Conduct data analysis and provide actionable insights to stakeholders * Contribute to requirement ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... tasks, data quality analysis, data modelling, monitoring, and automation. Qualifications ...

Next Step Systems

Python Software Engineer

Chicago, IL · On-site

Python Software Engineer, Chicago, IL A proprietary trading firm with three locations in Chicago ... tasks, data quality analysis, data modelling, monitoring, and automation. This position will be ...

Definian

Associate Consultant

Chicago, IL · On-site +1

$72K - $94K/yr

With expertise spanning data strategy, modernization, advanced analytics, and AI & automation ... You'll learn core skills in SQL, Python, data transformation, and enterprise applications (Oracle ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... using analysis tools such as SAS, SQL, Python, or R to extract meaningful insights * Apply ... Up to 1 year of full-time, data-related internship experience may be considered against this ...

Entegris

Operations Data Analyst

Aurora, IL · On-site

... analysis, dashboards, insights, and governance practices that enable decisionmaking, operational ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

Entegris

Operations Data Analyst

Aurora, IL

... analysis, dashboards, insights, and governance practices that enable decisionmaking, operational ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

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

As of Jun 5, 2026, the average hourly pay for python data analysis internship in Naperville, IL is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 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.
What are the most commonly searched types of Python Data Analysis jobs in Naperville, IL? The most popular types of Python Data Analysis jobs in Naperville, IL are:
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Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in Naperville, IL as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $46,739 per year, or $22.5 per hour.

Data Analyst Internship (Revenue Cycle & Analytics)

AAC Midwest

Chicago, IL • On-site

Internship

Posted 21 days ago

Job description

About AAC
Ambulatory Anesthesia Care (AAC) is a national leader in office-based anesthesia services. We partner with practices across the country to deliver safe, efficient, and patient-centered care outside the hospital setting. As we continue to grow, we are investing in data, analytics, and operational excellence to support smarter, faster decision-making.
About the Role
We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics.
This is a hands-on opportunity to work with real healthcare data - including billing, payer performance, and operational KPIs - while partnering directly with leadership on active financial and operational initiatives.
If you enjoy working with data, building dashboards, and uncovering insights that drive decisions, this role is for you.
What You'll Do
  • Analyze revenue cycle, billing, and operational data across multiple markets
  • Build and maintain dashboards (Power BI or similar tools)
  • Support reporting on claims activity, payer performance, and reimbursement trends
  • Clean, validate, and organize datasets (Excel, CSV, internal systems)
  • Identify trends, gaps, and opportunities within revenue cycle performance
  • Support key initiatives (e.g., RN billing pilots, payer analysis, operational reporting)
  • Partner cross-functionally with revenue cycle, credentialing, and operations teams
  • Assist with ad hoc reporting and analytics projects
What We're Looking For
  • Currently pursuing a degree in Data Analytics, Business Analytics, Finance, Healthcare Administration, or related field
  • Strong Excel skills (pivot tables, formulas, data manipulation)
  • Experience with Power BI or other reporting tools preferred
  • Basic knowledge of SQL is a plus
  • Strong analytical and problem-solving skills
  • High attention to detail and data accuracy
  • Ability to manage multiple priorities and meet deadlines
  • Strong communication skills (able to translate data into insights)
What You'll Gain
  • Hands-on experience with real healthcare and financial data
  • Exposure to revenue cycle operations and payer strategy
  • Experience building dashboards and reporting tools
  • Direct mentorship and feedback from leadership
  • A portfolio of real analytics projects (dashboards, reports, models)
Program Details
  • 15-20 hours per week (flexible schedule)
  • 10-12 week internship (potential to extend)
  • Unpaid internship (academic credit encouraged)
  • Weekly mentorship and feedback sessions
Equal Opportunity Employer
AAC is an Equal Opportunity Employer committed to diversity and inclusion.

Apply