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

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database * Own the full product ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work independently and as part of a team. • Ability to ...

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database * Own the full product ...

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

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 ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Shirley Ryan AbilityLab is seeking a Data Analyst II to manage and generate datasets and reports ... SQL, Python, R, SPSS, and/or Cerner Command Language (CCL). Preferred : • Subject matter ...

IMC Trading

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

... Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database • Own the full product delivery cycle for ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work independently and as part of a team. • Ability to ...

Full House Resorts

Casino Data Analyst

Waukegan, IL · On-site

$72K - $116K/yr

Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting ... Advanced skills in querying, analyzing, and visualizing large data sets. Proficiency in SQL and ...

1 point system

Data Engineer

Chicago, IL · 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 ...

Fresenius Kabi

Business Data Analyst

Lake Zurich, IL · On-site

$65K - $85K/yr

Job Summary The Business Data Analyst plays a critical role in supporting commercial excellence by ... Proficiency in analytics tools such as Qlik, Snowflake, Salesforce, SAP, Power BI, SQL, Python, or ...

Freseniusglobal

Business Data Analyst

Lake Zurich, IL · On-site

$65K - $85K/yr

Job Summary The Business Data Analyst plays a critical role in supporting commercial excellence by ... Proficiency in analytics tools such as Qlik, Snowflake, Salesforce, SAP, Power BI, SQL, Python, or ...

World S Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$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 ...

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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 Jul 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
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 are popular job titles related to Python Data Analyst jobs in Chicago, IL? For Python Data Analyst jobs in Chicago, IL, the most frequently searched job titles 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.
Senior Data Analyst - People Analytics

Senior Data Analyst - People Analytics

IMC

Chicago, IL • On-site

$88K - $111K/yr

Full-time

PTO

Re-posted 11 days ago

Job description

As a Senior Data Analyst, you will join our Financial Planning & Analytics (FP&A) team and partner closely with HR, Finance and Talent Acquisition stakeholders to deliver data analysis and reporting that drives people-related decisions across the organization.
This is a hands-on, technical role. You will spend most of your time building dashboards, writing code, engineering data pipelines, and translating stakeholder requirements into production-ready analytics solutions. You will also serve as a key analytical partner to HR leadership - providing actionable insights on workforce trends, talent acquisition, compensation, employee engagement, and organizational effectiveness. The ideal candidate is a strong data analyst who is equally comfortable working with HR and financial data, can operate independently, and thrives in a fast-paced environment with extensive ad-hoc reporting requirements.
Your Core Responsibilities:
  • BI Development & Data Engineering
    • Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI)
    • Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database
    • Own the full product delivery cycle for analytics solutions: requirements gathering, design, development, testing, and deployment to production
    • Extend and optimize the analytics database to support new data sources and evolving reporting needs
    • Ensure data quality, consistency, and reliability across all pipelines and reporting assets
    • Build and automate reporting workflows to reduce manual effort and improve scalability
  • HR Reporting & Analytics
    • Develop and maintain standard HR metrics and recurring reports covering headcount, attrition, diversity & inclusion, compensation equity, and employee engagement
    • Build and support recruitment dashboards to track recruitment-funnel progress, pipeline characteristics, and time-to-fill metrics
    • Partner with HR Business Partners (HRBPs) to translate data requests into clear reports and visualizations
    • Conduct ad hoc analyses on people data to support HR and business decision-making
    • Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive models (e.g., attrition risk, flight risk scoring)
  • FP&A & Workforce Planning Support
    • Support FTE forecasting and headcount budgeting processes by building and maintaining models and reports in partnership with Finance and HR/Recruitment teams
    • Contribute to annual HR planning cycles, including headcount forecasting, workforce cost modeling, and scenario analysis
    • Track and manage FTE movement against budget
    • Analyze workforce trends to identify patterns and risk areas relevant to financial planning
  • Stakeholder Partnership & Communication
    • Act as a trusted analytical advisor to HR and Finance to understand their needs and proactively surface findings
    • Present data, trends, and insights to both technical and non-technical audiences in clear, concise formats
    • Collaborate with other BI Developers and Engineers within BP&A to maintain shared data standards, governance practices, and documentation
    • Demonstrate curiosity in understanding business context, using that understanding to deliver solutions that balance standardization with practical requirements

Your Skills and Experience:
  • 5+ years of experience as a Data Analyst, BI Developer, Financial Analyst, or similar analytics role
  • Demonstrated proficiency in Python and SQL, including writing clean, production-ready code; experience working with large datasets
  • Proven experience building reporting and dashboard solutions in Qlik, Tableau, Power BI, or a comparable BI tool
  • Demonstrated experience developing and maintaining ETL pipelines and data architecture
  • Working knowledge of at least one HRIS platform (Workday, SAP SuccessFactors, Oracle, ADP, or equivalent)
  • Excellent communication and interpersonal skills; ability to work directly with non-technical stakeholders and present findings clearly
  • Self-driven and comfortable working independently in a dynamic environment with shifting priorities and heavy ad-hoc reporting needs
  • Familiarity with data privacy regulations as they apply to employee and people data
  • Bachelor's degree in Computer Science, Finance, Statistics, Information Systems or other quantitative field
  • Exposure to FP&A processes such as headcount budgeting, FTE forecasting, or workforce cost modeling preferred
  • Experience working with HR data including HRIS, ATS, compensation, and headcount data is a plus
  • Familiarity with HR metrics frameworks, people analytics best practices, and DEI reporting preferred

Please note that immigration sponsorship is not offered for this specific opening.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$140,000-$180,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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