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Freelance Python Data Analysis Jobs in Aurora, IL

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

... FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI) * Build and maintain Python ... Ensure data quality, consistency, and reliability across all pipelines and reporting assets * Build ...

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

... FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI) * Build and maintain Python ... Ensure data quality, consistency, and reliability across all pipelines and reporting assets * Build ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · Hybrid

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

Brookfield

P&C Data Analyst

Chicago, IL

This role applies data analysis techniques to insurance data to improve risk segmentation and rate ... Proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience ...

Conch Technologies Inc

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

... analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm; · Expertise in SQL, Python, data modeling, and distributed processing; · ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... analysis techniques and tools. • Proficiency in SQL and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

Resource Innovations

Data Analyst Lead

Chicago, IL

$65K - $95K/yr

Perform database queries (Redshift DW) and program data analysis as requested * Gather and ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... analysis techniques and tools. • Proficiency in SQL and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

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

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Perform database queries (Redshift DW) and program data analysis as requested * Gather and ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

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

As of Aug 9, 2026, the average hourly pay for freelance python data analysis in Aurora, IL is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

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 backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Aurora, IL as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,888 per year, or $58.1 per hour.

Senior Data Analyst - People Analytics

IMC

Chicago, IL • On-site

$88K - $111K/yr

Other

PTO

Re-posted 13 days ago

Job description

As a Senior Data Analyst, you will join our Financial Planning & Analytics (FP&A) team and partner closely with HR, Finance and Talent Acquisition stakeholders to deliver data analysis and reporting that drives people-related decisions across the organization.
This is a hands-on, technical role. You will spend most of your time building dashboards, writing code, engineering data pipelines, and translating stakeholder requirements into production-ready analytics solutions. You will also serve as a key analytical partner to HR leadership - providing actionable insights on workforce trends, talent acquisition, compensation, employee engagement, and organizational effectiveness. The ideal candidate is a strong data analyst who is equally comfortable working with HR and financial data, can operate independently, and thrives in a fast-paced environment with extensive ad-hoc reporting requirements.
Your Core Responsibilities:
  • BI Development & Data Engineering
    • Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI)
    • 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 delivery cycle for analytics solutions: requirements gathering, design, development, testing, and deployment to production
    • Extend and optimize the analytics database to support new data sources and evolving reporting needs
    • Ensure data quality, consistency, and reliability across all pipelines and reporting assets
    • Build and automate reporting workflows to reduce manual effort and improve scalability
  • HR Reporting & Analytics
    • Develop and maintain standard HR metrics and recurring reports covering headcount, attrition, diversity & inclusion, compensation equity, and employee engagement
    • Build and support recruitment dashboards to track recruitment-funnel progress, pipeline characteristics, and time-to-fill metrics
    • Partner with HR Business Partners (HRBPs) to translate data requests into clear reports and visualizations
    • Conduct ad hoc analyses on people data to support HR and business decision-making
    • Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive models (e.g., attrition risk, flight risk scoring)
  • FP&A & Workforce Planning Support
    • Support FTE forecasting and headcount budgeting processes by building and maintaining models and reports in partnership with Finance and HR/Recruitment teams
    • Contribute to annual HR planning cycles, including headcount forecasting, workforce cost modeling, and scenario analysis
    • Track and manage FTE movement against budget
    • Analyze workforce trends to identify patterns and risk areas relevant to financial planning
  • Stakeholder Partnership & Communication
    • Act as a trusted analytical advisor to HR and Finance to understand their needs and proactively surface findings
    • Present data, trends, and insights to both technical and non-technical audiences in clear, concise formats
    • Collaborate with other BI Developers and Engineers within BP&A to maintain shared data standards, governance practices, and documentation
    • Demonstrate curiosity in understanding business context, using that understanding to deliver solutions that balance standardization with practical requirements

Your Skills and Experience:
  • 5+ years of experience as a Data Analyst, BI Developer, Financial Analyst, or similar analytics role
  • Demonstrated proficiency in Python and SQL, including writing clean, production-ready code; experience working with large datasets
  • Proven experience building reporting and dashboard solutions in Qlik, Tableau, Power BI, or a comparable BI tool
  • Demonstrated experience developing and maintaining ETL pipelines and data architecture
  • Working knowledge of at least one HRIS platform (Workday, SAP SuccessFactors, Oracle, ADP, or equivalent)
  • Excellent communication and interpersonal skills; ability to work directly with non-technical stakeholders and present findings clearly
  • Self-driven and comfortable working independently in a dynamic environment with shifting priorities and heavy ad-hoc reporting needs
  • Familiarity with data privacy regulations as they apply to employee and people data
  • Bachelor's degree in Computer Science, Finance, Statistics, Information Systems or other quantitative field
  • Exposure to FP&A processes such as headcount budgeting, FTE forecasting, or workforce cost modeling preferred
  • Experience working with HR data including HRIS, ATS, compensation, and headcount data is a plus
  • Familiarity with HR metrics frameworks, people analytics best practices, and DEI reporting preferred

Please note that immigration sponsorship is not offered for this specific opening.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$140,000-$180,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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