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

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 ...

Data Analyst (0-3 Years Experience | Freshers Welcome) Location: Chicago, IL, United States (On ... Python * R Programming * Power Query * ETL * MySQL * PostgreSQL * Microsoft SQL Server * Statistics

They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to ...

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

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

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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.

What are the most commonly searched types of Python Data Analyst jobs in Chicago, IL?

The most popular types of Python Data Analyst jobs in Chicago, IL are:

What job categories do people searching Python Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Python Data Analyst jobs in Chicago, IL are:

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.

$75K - $95K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago


Key responsibilities

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions

  • Extract, transform, clean, and validate data from multiple sources to support analytics, reporting, and decision-making

  • Create dashboards and visualizations to communicate insights to business audiences


Job description

nar.realtor
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JOIN OUR TEAM >> Data Analyst
Data Analyst
Summary
Title: Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Strategic Business Innovation & Technology
More about this job >
Description

Position Summary:

NAR is seeking a Data Analyst to help deliver data-driven insights, analytics solutions, and AI-enabled products that support decision-making across the organization. This role focuses on working directly with business stakeholders to understand analytical requirements, transform complex and fragmented data into actionable information, and build scalable solutions that provide measurable business value. 

The Data Analyst will design and implement data preparation processes, perform advanced analysis, and develop applications and visualizations. They will make data and analysis accessible to non-technical audiences. The role works extensively within the Microsoft Azure and Microsoft Fabric ecosystems and involves close collaboration with data scientists, and business stakeholders in different parts of the organization. 

The successful candidate will contribute to data quality initiatives, AI-assisted analytics workflows, and the development of new solutions that leverage both traditional analytics and AI technologies. The ideal candidate is comfortable working across analytics, visualization, and application development disciplines, with a practical focus on delivering solutions that are reliable, scalable, and widely adopted by the business. 

Duties and Responsibilities:

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions 

  • Extract, transform, clean, and validate data from multiple internal and external sources to support analytics, reporting, and operational decision-making 

  • 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 audiences using technologies such as Power BI, Streamlit, Django, and other frameworks 

  • Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects 

  • Participate in source control, deployment, and project management processes using tools such as Git and Jira 

  • Other duties, as assigned 


Qualifications:

  • Bachelor's degree in Computer Science or a closely related field. 

  • Minimum of 2+ years of professional experience in data analytics or a related technical role. 

  • Strong proficiency in SQL, including experience writing complex queries. 

  • Strong Python development skills, including working with notebooks, expertise with data analysis libraries (e.g., Pandas, NumPy, SciPy), and use of visualization libraries (e.g., Plotly, Matplotlib). 

  • Experience building dashboards using tools such as Power BI, Streamlit, or Django. 

  • Experience working with cloud-based platforms and services; Microsoft Azure and Microsoft Fabric experience preferred. 

  • Use of Git and use of project management systems such as Jira. 

  • Good grasp of basic statistical concepts. 

  • Ability to communicate complex technical concepts clearly and effectively to non-technical audiences. 

  • Ability to work independently with minimal supervision while managing multiple priorities and deadlines. 

  • Experience with AI, such as the use of AI-code generation, is a positive. 

  • Advanced Microsoft Excel skills for data analysis and reporting are preferred 


Compensation: $75,000 - $95,000 depending on office location

NAR provides comprehensive benefits including health/dental/vision insurance.
NAR is on a hybrid schedule and in the office 3 days a week.


Organizational Overview:

The National Association of REALTORS (NAR) is a team of professionals dedicated to providing world-class service to approximately 1.5 million REALTORS working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of real estate. As in every industry, our members' value proposition is constantly being challenged by innovation.
It is our mission to empower REALTORS as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. 

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