1

Python Data Analysis Internship Jobs in Monee, IL

Data Analyst

Chicago, IL

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business ...

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

... FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI) * Build and maintain Python ... Ensure data quality, consistency, and reliability across all pipelines and reporting assets * Build ...

Python or R for data transformation and exploratory analysis * Background in Finance, SaaS Operations, or Supply Chain reporting * Sigma Certified Professional credential * Experience embedding Sigma ...

New

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... analysis techniques and tools. • Proficiency in SQL and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... Python / PySpark : Skilled in data processing using Databricks or Jupyter Notebooks. * SQL

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... analysis techniques and tools. • Proficiency in SQL and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Develop new processes with financial data including but not limited to forecasting, trend analysis ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools * Pursue ongoing professional ...

Develop new processes with financial data including but not limited to forecasting, trend analysis ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

next page

Showing results 1-20

Python Data Analysis Internship information

See Monee, IL salary details

$11

$21

$40

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

As of Jun 6, 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, 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 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:

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

About Us
Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.

About the Role
We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.

Location: Chicago or New York

Reporting to: Chief Financial Officer 

What You'll Do
Data Engineering & Pipeline Development

  • Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
  • Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
  • Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
  • Develop data models that make financial and operational data reliable, accessible, and well-structured.

Fronting Carrier & Regulatory Reporting

  • Own the data preparation for monthly reports to insurance partners. 
  • Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).

Billing System Data Preparation & Cleansing

  • Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets. 
  • Work closely with Engineering and Finance to align data with billing schemas and business rules.

Analytics Support for FP&A and Accounting

  • Create data assets enabling self-service dashboards and analytical tools.
  • Monitor the data and ensure strong data integrity.
  • Investigate data anomalies and help Finance understand operational drivers behind performance metrics. 

What You Bring
Required

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
  • Strong SQL and Python skills and experience working with relational databases.
  • Experience with a cloud data warehouse - BigQuery preferred
  • Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
  • Comfort working with messy data, performing cleansing, reconciliation, and QA.
  • Analytical mindset with strong attention to detail
  • Ability to communicate findings clearly to non-technical stakeholders. 

Nice to Have

  • Experience in insurance, fintech, or financial services.
  • Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions.
  • Familiarity with financial systems such as ERPs or billing systems.
  • Experience with BI tools like Looker, Power BI and Tableau.
  • Experience leveraging AI to generate SQL and Python scripts. 

Who You Are

  • You're a builder who enjoys creating structure in ambiguity.
  • You're the type who spots data issues before anyone else does - then digs until you find the root cause.
  • You love empowering non-technical teams with accurate, reliable data.
  • You thrive in cross-functional work between Finance, Accounting, and Engineering.
  • This role is open to candidates based in New York or Chicago, IL

Benefits

  • Salary: $120,000-$170,000
  • ISO stock options
  • Medical, dental, and vision coverage for you and your dependents
  • HSA with company contributions
  • 401(k) with employer match
  • Flexible time off 
  • 10 company-paid holidays
  • Paid family leave