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

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

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.

Data Analyst

Naperville, IL · On-site

$70K - $97K/yr

... a Data Analyst role * Bachelor's degree in Computer Science, MIS, or a related technical field ... Experience with Excel as well as a programming language like Python or Lua * High attention to ...

... and Python • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value • Demonstrated ability to analyze data issues, identify root ...

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 ...

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

Business Data Analyst

Chicago, IL · On-site

$6.1K - $8.7K/mo

... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

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 ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

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

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

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 ...

Senior Data Analyst

Chicago, IL

$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 ...

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

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

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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 Jul 9, 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.
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:
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.

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Re-posted 17 days ago


Job description

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. For more information, please visit HAVI.com.

A talented and motivated individual who will drive excellence in supporting the existing Data Management team in streamlining data processes.

The Data Analyst is responsible for the mapping, identification of opportunities, and automation of processes to improve data workflows and generating insights from data for the North America Supply Chain division.

The role will involve collaborating with the onshore and offshore Data Management team, the Data Science team, the Product Management and other functional Supply Chain teams. It includes the mapping of current value streams, identification of improvement opportunities, generation of insights, BI Reporting, and disseminating the finds to all levels of the organization. This role will involve collaboration with external and internal customers.

This role provides the opportunity to influence our thinking on how data should be managed. This person must be able to build a trusted partnership with our clients and provide consultative and advisory services as needed.

Be current on trends and developments in the market with an eye on bringing new advancements into our portfolio of solutions.

This role will be part of the North America Supply Chain's Analytics & Insights team.

This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.

Primary Responsibilities: 

  • Work with business leaders and other team members to identify data driven opportunities for improvement
  • Collaborate with other team members to collect, synthesize, and analyze data and create relevant reports
  • Structure large data sets and finding patterns from and insights from data
  • Lead the identification and automation of data workflows
  • Create presentations and reports using impactful graphs and other methods of visualization
  • Ensure deliverables are up to quality standards at the end of each sprint
  • Document current state and work and identify and plan the transformation journey
  • Help build production quality deliverables
  • Contribute towards thought leadership in data analysis
  • Ensure customer satisfaction

Qualifications: 

  • Degree in Engineering, Computer Science, Business, Analytics, or a closely related field
  • Masters in Analytics or related field is highly preferred
  • 3+ years working with Data Analysis and Process Improvement methodologies
  • Excellent knowledge of databases and SQL scripting
  • Excellent knowledge of Python and R scripting
  • Experience with statistical software as well as with reporting and visualization tools
  • Good knowledge of process mapping techniques, e.g., value stream mapping
  • Excellent communication and leadership skills
  • Proved problem-solving and conflict-resolution ability
  • Outstanding organizational skills
  • Ability to build MS-Power BI dashboards
  • Familiarity with the Azure ecosystem and Databricks
  • Understanding of Master and Product Configuration tools, i.e., SIM and PIM, is a plus
  • Understanding of Supply Chain Traceability process, i.e., EDI standards, is a plus
  • Lean Six Sigma certification is a plus
 

*Starting Salary is $80,000-$95,000 with a 5% targeted bonus 

TOTAL REWARDS

Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant:

  • Our commitment to rewarding results
  • Opportunities to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers'-and our company's-success

There's more ...

Inclusive employee resource groups

Generous medical, dental, vision and other great benefits

Paid parental and medical leave programs

401(k) with a company match component and profit sharing

15 days of paid time off plus company holidays

Hybrid work model with flexibility

Tuition reimbursement and student loan repayment assistance

EQUAL OPPORTUNITY EMPLOYER

We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

RECRUITING AGENCIES

HAVI does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the HAVI Talent Acquisition Team has granted authorization for submissions for a specified position. Please do not submit or forward resumes to our site, HAVI employees, or any other company location. HAVI is not responsible for any fees related to unsolicited resumes.

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