1

Freelance Python Data Analysis Jobs in Chicago, IL

Senior Analyst AI / Data Science

Chicago, IL ยท On-site

$88K - $111K/yr

Python * Data Analytics & Data Science * Machine Learning * Predictive Analytics * Customer Analytics * A/B Testing * Tableau and/or Power BI Business Focus * Customer Engagement * Loyalty ...

New

Director, Data Analysis

Lake Forest, IL ยท On-site

$92K - $133K/yr

About the role This role requires strong programming skills in SQL, Python, or comparable ... Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources ...

Data Engineer

Chicago, IL ยท Remote

$117K - $140K/yr

Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm. Expertise in SQL, Python, data modeling, and ...

Data Engineer

Deerfield, IL ยท Remote

$70 - $85/hr

Build and manage databases supporting analytics and ML workflows Graph & Knowledge Systems ... Python ecosystem ( optional but beneficial ) Candidate Profile * Mid to sr -level Data Engineer

AI and BI Data Intern

Chicago, IL ยท On-site

$18 - $24/hr

Python-based data engineering using notebooks * AI-driven knowledge retrieval and chatbot development * Real-world application of analytics to support insurance advisory services and client ...

Data Engineer, Python & ETL

Chicago, IL ยท 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 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 ...

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

next page

Showing results 1-20

Freelance Python Data Analysis information

See Chicago, IL salary details

$13

$60

$88

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

As of Jul 11, 2026, the average hourly pay for freelance python data analysis in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Chicago, IL? The most popular types of Python Data Analysis jobs in Chicago, IL are:
What are popular job titles related to Freelance Python Data Analysis jobs in Chicago, IL? For Freelance Python Data Analysis jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Chicago, IL look for? The top searched job categories for Freelance Python Data Analysis jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Freelance Python Data Analysis jobs? Cities near Chicago, IL with the most Freelance Python Data Analysis job openings:

Senior Analyst AI / Data Science

RKMC Inc.

Chicago, IL โ€ข On-site

$88K - $111K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary

We are seeking a Senior AI/Data Science Analyst to leverage data, analytics, and machine learning to drive customer engagement, personalization, and business growth. The ideal candidate will have strong analytical skills and experience translating data into actionable business insights.

Primary Skills
  • SQL
  • Python
  • Data Analytics & Data Science
  • Machine Learning
  • Predictive Analytics
  • Customer Analytics
  • A/B Testing
  • Tableau and/or Power BI
Business Focus
  • Customer Engagement
  • Loyalty & Personalization
  • Ancillary Revenue Optimization
  • Product Analytics
  • Digital Experience
Responsibilities
  • Analyze large datasets to identify trends, opportunities, and business insights.
  • Build predictive models and data-driven solutions to improve customer experience and business performance.
  • Design and evaluate A/B tests to measure product and marketing initiatives.
  • Develop dashboards and reports to communicate key metrics and recommendations.
  • Partner with business and technology teams to support data-driven decision-making.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.