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

Honeycomb Insurance

Data Analyst

Chicago, IL

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

CIBC

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

CIBC US

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

CIBC

Data Analyst

Chicago, IL

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Digital Harbor Foundation

Data Analyst

Chicago, IL · Remote

$70K/yr

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Digital Harbor Foundation

Data Analyst

Chicago, IL · On-site +1

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Entegris

Operations Data Analyst

Aurora, IL

Operations Data Analyst Here at Entegris, we use advanced science to enable technologies that ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

World Insurance Associates LLC

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... Python scripts, and BI dashboards to automate recurring reporting and analytics tasks. • Ensure data integrity across systems and proactively identify discrepancies or anomalies. • Translate ...

Entegris

Operations Data Analyst

Aurora, IL · On-site

Operations Data Analyst Here at Entegris, we use advanced science to enable technologies that ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

Stellar IT Group

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

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

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.

Group One Trading

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

The ideal candidate combines strong technical skills in Python and SQL with intellectual curiosity ... Maintain detailed documentation of data processes, system configurations, and analytical methods

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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.
Data Analyst

Data Analyst

Honeycomb Insurance

Chicago, IL

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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
 

Apply