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Python Data Analysis Internship Jobs in Monee, IL

Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy). * Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query). * Preferred Skills:

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 ...

... Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to integrate with third‑party platforms is a strong plus.

New

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting * Create dashboards that effectively communicate insights to business ...

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 ...

Explore AI and LLM tools to support research, data analysis and more efficient analytics workflows ... Previous internships, relevant coursework, research or personal projects are a plus, but not ...

Explore AI and LLM tools to support research, data analysis and more efficient analytics workflows ... Previous internships, relevant coursework, research or personal projects are a plus, but not ...

Explore AI and LLM tools to support research, data analysis and more efficient analytics workflows ... Previous internships, relevant coursework, research or personal projects are a plus, but not ...

Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify ... Python development, with experience creating python-based applications utilizing clean code ...

Showing results 21-40

Python Data Analysis Internship information

See Monee, IL salary details

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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:

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

Posted 17 days ago


Job description

About the Role: Data Analyst

We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.

Core Responsibilities

  1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
  2. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  3. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  4. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  5. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  6. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.

Qualifications

  1. Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
  2. Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
  3. Technical Skills (Required):
  • Strong proficiency in SQL for data querying and extraction.
  • Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
  • Solid understanding of relational databases and data warehouse concepts.
  • Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
  • Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
  1. Preferred Skills:
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
  • Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
  • Knowledge of statistical methods and basic predictive modeling techniques.

What We Offer

  1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  2. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  3. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Ready to Take the Next Step?

Email your updated resume to: yashwanth.phani@maximatek.com