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Full Time Python Data Analysis Jobs in Illinois (NOW HIRING)

... Leverage Python to develop new reporting and analytics using healthcare data (medical, pharmacy ... This fulltime position is eligible for a comprehensive benefits package designed to support the ...

IL · On-site

Python data analysis Work Environment / Location Scott AFB, IL (508 Scott Drive). On-site primary; off-site permitted for unclassified work where noted.

Director, Data Analysis

Lake Forest, IL · On-site

$92K - $133K/yr

About the role This role requires strong programming skills in SQL, Python, or comparable ... Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources ...

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... tasks, data quality analysis, data modelling, monitoring, and automation. Qualifications ...

Knowledge of statistical analysis software (e.g., R, Python). Familiarity of Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) Preferred Qualifications: Education Level: Master ...

Python Software Engineer, Chicago, IL A proprietary trading firm with three locations in Chicago ... tasks, data quality analysis, data modelling, monitoring, and automation. This position will be ...

... and Python. The successful candidate will be instrumental in improving the efficiency and ... All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for ...

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem‑solving, and team collaboration ...

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem-solving, and team collaboration ...

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Full Time Python Data Analysis information

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.
What are the most commonly searched types of Python Data Analysis jobs in Illinois? The most popular types of Python Data Analysis jobs in Illinois are:
What job categories do people searching Full Time Python Data Analysis jobs in Illinois look for? The top searched job categories for Full Time Python Data Analysis jobs in Illinois are:
Lead Python Developer, Data Analytics

Lead Python Developer, Data Analytics

CVS Health

Cary, IL • On-site, Remote

$67K - $199K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,248 frontline employees who took The Breakroom Quiz

77th of 99 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Aetna's Reporting Solutions team is looking for an initiative-taking Lead Python Developer with 3+ years of experience in software engineering with Python in a professional environment to join our Reporting Solutions team.

This Lead Python Developer role is a part of the Aetna Commercial's Sales Enablement department that partners with business leaders and key stakeholders to optimize the achievement of strategic business objectives.

In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content.

The work environment supports and thrives on out-of-the box thinking, creative talent, and a consultative approach.

Specifically, this role will be responsible for developing and delivering new capabilities to support health care analytics and reporting, benefits evaluations, and operational decision making by Aetna internal and external constituents. This work requires technical, analytic, and consultative skills.

**The position may be remote or hybrid anywhere in the US depending on candidate location and commute to a hub location

Key Responsibilities

Leverage Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab)

Create business applications to deliver clinical or analytic solutions to constituents in a self-service fashion using Plotly Dash Enterprise.

Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies.

Refactor legacy programming code to improve turn-around-times and to take advantage of modern technologies.

Communicate with key stakeholders in a way that is easy to understand and actionable.

Define and deliver new technical capabilities in support of healthcare business initiatives that drive short- and long-term objectives.

Work to expand, scale, and automate the analyses available to the broader team and the Aetna field.

Ability to mentor and knowledge share with peers.

Monitor and maintain applications and production processes required to deliver on business commitments.

Use analytics and technology to solve business needs as well as to demonstrate to customers the value of Aetna's integration with CVS Health.

Required Qualifications

3+ years of experience with a Python Data Engineering Stack in a professional environment.

3+ Experience with SQL query development, working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.

Proficient in usage of the following Python libraries: Polars, NumPy, Pandas.

Proficient with: XML, JSON, YAML.

Experience with AI prompting to assist with development with tools like Copilot and, Claude.

Proficient in the use of CI/CD pipelinesand Git integration.

Preferred Qualifications

5+ years in a technical analytics/reporting role, with 3+ years of experience focusing on Python, SQL in a professional environment.

Experience with callback architecture, including client-side callbacks, pattern-matching callbacks, and callback optimization techniques for complex multi-page applications.

Experience with Redis for application caching, session management, and real-time data storage.

Experience with PostgreSQL including complex query optimization, indexing strategies, and database performance tuning.

Expertise Celery for distributed task queue management and background job processing, including task routing, retry logic, error handling, and monitoring.

Expertise inXlsxWriterfor generating complex Excel reports with multiple worksheets, charts, conditional formatting, and data validation.

Experience with front end development, e.g., REACT, HTML, CSS.

Experience with cloud computing providers (GCP, Azure, AWS)

Experience with specialized Python data management libraries, e.g., with DBT.

Experience migrating on-premises capabilities and analytical workflows to the cloud, leveraging cloud-native technologies to improve efficiency and effectiveness, e.g., with Google Cloud Platform.

Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process.

A strong ability to encourage teamwork and actively support the team's objectives is essential.

Education

Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

$67,900.00 - $199,144.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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