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

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

Coding (Python, R) Behavioral & Professional Skills * Analytical and critical thinking * Strong problem-solving skills * Clear and effective communication (technical and non-technical audiences)

Senior Data Analyst

Chicago, IL

$88.60K - $111.80K/yr

Coding (Python, R) Behavioral & Professional Skills * Analytical and critical thinking * Strong problem-solving skills * Clear and effective communication (technical and non-technical audiences)

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.

... 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 ...

The Data Analyst, Data Opsis responsible forensuring theaccurate,timelyand reliable delivery of ... Advanced proficiencywith SQL and Python. * Experience working with large datasets and using ...

Data Analyst, OSD

Chicago, IL · On-site

$54K - $77.50K/yr

... Python, or R to extract meaningful insights * Apply statistical techniques to analyze data ... distributions, correlations, and trends, contributing to the development of robust analytical ...

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 ...

... Python, or R to extract meaningful insights * Apply statistical techniques to analyze data ... distributions, correlations, and trends, contributing to the development of robust analytical ...

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 ...

... 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 ...

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

Senior Data Analyst

Chicago, IL

$88.70K - $111.90K/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

$88.60K - $111.80K/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 · On-site

$88.60K - $111.80K/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 ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/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 ...

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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 May 29, 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?

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.

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 May 2026, with employment types broken down into 2% Internship, 4% As Needed, 73% Full Time, 12% Part Time, 4% Temporary, and 5% Contract. Highlights an 68% Physical, 18% Hybrid, and 14% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.
Senior Data Analyst

Senior Data Analyst

Ryan Specialty

Chicago, IL • On-site

$88.60K - $111.80K/yr

Full-time

PTO

Posted 16 days ago


Job description

Position Summary
We are looking for a contract Senior Data Analyst to join a project that is projected to run through the end of the year. In this role, you will be responsible for analytic data needs, handling complex data projects.
What will your job entail?
*This is a contract/temporary role that will be tentatively running through the remainder of this year*
Key Responsibilities
  • Analyze, extract, transform, and reconcile large, complex datasets across multiple internal systems and external data sources.
  • Provide analytical support for operational areas including claims, policy, client, and underwriting data.
  • Identify trends, anomalies, risks, and improvement opportunities through data analysis; clearly communicate findings and recommended actions to leadership.
  • Develop, maintain, and automate recurring and ad hoc reports, dashboards, and management deliverables.
  • Model and analyze data using SQL, Excel, Access, and enterprise data warehouse tools.
  • Build and maintain data visualizations and dashboards using tools such as Power BI and Tableau.
  • Perform data quality audits and validation to ensure accuracy, consistency, and compliance with federal and state reporting requirements.
  • Support data systems as a functional administrator, including testing, evaluating, and implementing new system releases and enhancements.
  • Participate in project implementations, including requirements gathering, testing, and deployment support.
  • Mentor and train junior Data Analysts on tools, reporting standards, and best practices.
  • Perform additional duties as assigned.
Required Experience & Education
  • Bachelor's degree in a related field (Analytics, Data Science, Information Systems, Business, Statistics) or equivalent practical experience.
  • Minimum of 2+ years of experience in data analysis, statistical analysis, IT analytics, data warehouse, or ETL-related work.
  • Experience supporting or leading data-related projects or system implementations.
  • Hands-on experience building dashboards and data visualizations using SQL-based datasets.
  • Proficiency in at least one coding language such as Python or R.
  • Experience analyzing underwriting or insurance-related data strongly preferred.
Preferred Certifications
  • Microsoft Power BI Data Analyst Associate (PL-300) - preferred
  • Tableau Certified Data Analyst - preferred
Technical Skills
  • SQL (advanced querying, joins, aggregations)
  • Data Warehousing & ETL Pipelines
  • Data Modeling & Data Governance
  • Business Intelligence & Analytics
  • Data Visualization & Dashboard Development
  • Power BI
  • Tableau
  • Ad Hoc & Automated Reporting
  • Coding (Python, R)
Behavioral & Professional Skills
  • Analytical and critical thinking
  • Strong problem-solving skills
  • Clear and effective communication (technical and non-technical audiences)
  • Time management and ability to prioritize multiple workstreams
  • Organizational skills with strong attention to detail
  • Customer-focused mindset and stakeholder collaboration

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them - and their family members - achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is - annually.
The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.