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Freelance Python Data Analyst Jobs in Naperville, IL

... 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 ...

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 ...

Python/SQL Developer

Naperville, IL · On-site

$49.75 - $68.75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

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 ...

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

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 ...

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

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 · 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 ...

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 ...

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 ...

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

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Freelance Python Data Analyst information

See Naperville, IL salary details

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How much do freelance python data analyst jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for freelance python data analyst in Naperville, IL is $32.88, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.73 per hour, depending on experience, location, and employer.

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are popular job titles related to Freelance Python Data Analyst jobs in Naperville, IL? For Freelance Python Data Analyst jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Naperville, IL look for? The top searched job categories for Freelance Python Data Analyst jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Freelance Python Data Analyst jobs? Cities near Naperville, IL with the most Freelance Python Data Analyst job openings:
Data Analyst

$70K - $97K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

About CooperSurgical

CooperSurgical is a leading fertility and women's healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. As a division of CooperCompanies, we're driven by a unified purpose to enable patients to experience life's beautiful moments. Guided by our shared values - dedicated, innovative, friendly, partners, and do the right thing - our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women's and family care, and beyond. We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions. Learn more at www.coopersurgical.com.

This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)

You Have:

  • 2-4 years of experience in a Data Analyst role
  • Bachelor's degree in Computer Science, MIS, or a related technical field
  • Deep expertise in data cleaning, SQL, and backend data work
  • Experience with Excel as well as a programming language like Python or Lua
  • High attention to detail, including experience with data validation techniques
  • Precise and effective communication skills for technical and non-technical audiences
  • Ability to understand the underlying needs of the business and drive impact in a fast-paced, ambiguous environment

As an employee of CooperSurgical, you'll receive an outstanding total compensation plan. As we believe your compensation goes beyond your paycheck, we offer a great compensation package, medical coverage, 401(k), parental leave, fertility benefits, paid time off for vacation, personal, sick and holidays, and multiple other perks and benefits. Please visit us at www.coopersurgical.com to learn more about CooperSurgical and the benefits of becoming a member of our team.

To all agencies: Please, no phone calls or emails to any employee of CooperSurgical about this opening. All resumes submitted by search firms/employment agencies to any employee at CooperSurgical via-email, the internet or in any form and/or method will be deemed the sole property of CooperSurgical, unless such search firms/employment agencies were engaged by CooperSurgical for this position and a valid agreement with CooperSurgical is in place. In the event a candidate who was submitted outside of the CooperSurgical agency engagement process is hired, no fee or payment of any kind will be paid.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. If you are interested in applying and require special assistance or accommodations due to a disability, please contact us at talent.acquisition@coopersurgical.com

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $70,000-97,000. The actual base pay includes many factors, and is subject to change and modification in the future. This position may also be eligible for other types of compensation and benefits.

Position Summary:

We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo Options, the first business of its kind to help guide patients through the process of storing cryopreserved embryos, eggs, and sperm. Embryo Options partners with IVF centers to educate and assist fertility patients with making disposition decisions for their cryopreserved tissue. The IVF center and Embryo Options partnership enables patients to conveniently pay storage fees online, as well as gain access to comprehensive educational content and the world's largest embryo donation platform.

As more and more patients are freezing embryos, eggs, and sperm, our goal is to provide tools to fertility clinics that help their patients to navigate the complicated financial, legal, and ethical issues associated with cryopreservation.

As a Data Analyst on the Embryo Options Customer Success, you will Own the integrity, usability and structure of customer data throughout the implementation and ongoing reporting. This individual serves as the bridge between raw data, internal systems, and customer facing outcomes while continuously improving data hygiene and reporting processes.

You Will:

  • Own data ingestion, validation, and transformation processes
  • Clean, analyze, and transform clinic cryo-storage data from disparate, unstructured sources like Excel, Microsoft Access, SQL databases, and CSV
  • Work closely with our Customer Success team to communicate any data issues back to IVF clinics and EMR providers
  • Provide clear, reproducible analysis to help answer business questions for IVF centers and our product team
  • Collaborate with our product team to identify new application features that help IVF centers better understand their patient data
  • Act as data lead during customer implementations by maintaining clear documentation and timelines for data related workstreams
  • Partner directly with customers to understand current data structures, diagnose quality issues and set expectations on reporting capabilities.
  • Help define standards for clean data, documentation and identify opportunities for automation