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Python Data Analyst Jobs in Chicago, IL (NOW HIRING)

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Trans Union LLC

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Advanced proficiency with SQL and Python * Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value * Demonstrated ability to analyze data ...

Braze

People Data Analyst

Chicago, IL · On-site

$67K - $104K/yr

Proficient in at least one language for data analysis (preferably Python) * Experience building dashboards using a visualization tool such as Looker (preference), Tableau, PowerBI, etc. * Experience ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$100 - $125/hr

Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel * Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and experience ...

Motorola

Portfolio Data Analyst

Chicago, IL · On-site

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Advanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/hr

Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel * Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and experience ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel * Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and experience ...

World S Finest Chocolate

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel * Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and experience ...

GEICO

Finance Data Analyst

Chicago, IL · On-site

$86K - $133K/yr

Proficiency in data querying and analysis using SQL, Python, or comparable tools. * Experience developing dashboards and reports using business intelligence and data visualization tools (e.g., Power ...

World's Finest Chocolate

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/hr

Automate data pipelines using Alteryx, Python, or native connector tools. * Utilize SQL to query ... Analysis (25%) * Extract and cleanse data from: * Retailer portals (Retail Link, Partners Online ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Chicago, IL

Python Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do python data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for python data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Mid-Level Data Analyst

Chicago, IL • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 13 days ago

Job description

2 round interview both virtual


• Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.
• Supports the development and distribution of daily, monthly, and quarterly reports to monitor the Bank’s technology metrics portfolio
• Develop and maintain automated processes for data extraction and transformation to streamline data workflows.
• Create and maintain comprehensive reports and dashboards to visualize key performance indicators (KPIs), key risk indicators (KRIs) and metrics.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as needed.
• Assist in the preparation of presentations and reports for internal stakeholders, conveying complex technical findings in a clear and concise manner.
• Stay updated on industry trends, best practices, and emerging technologies in data analysis and financial services.
• Encourages teamwork, professionalism and high morale, throughout the department and the Bank.
• Creates efficiencies within work tasks to eliminate or reduce manual processes.

Client note

  • Kpi
  • Reporting
  • Look at data and be able to tell story to stakeholders, and team
  • Work with different and large volume
  • Tableu, tableu prep, excel must have
  • Sql, python must have
  • Databricks
  • 37.5 hrs weekly