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Freelance Python Data Analyst Jobs in Evanston, IL

Data Analyst

Chicago, IL

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Data Analyst

Chicago, IL

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Data Analyst

Chicago, IL · Remote

$70K/yr

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... Python scripts, and BI dashboards to automate recurring reporting and analytics tasks. • Ensure data integrity across systems and proactively identify discrepancies or anomalies. • Translate ...

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

Data Analyst

Chicago, IL · On-site

$67K - $72K/yr

Overview The Data Analyst will support Behavioral Health Operations by developing and maintaining ... Experience with Python for scripting, automation, or data processing (preferred) * Familiarity with ...

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

The ideal candidate combines strong technical skills in Python and SQL with intellectual curiosity ... Maintain detailed documentation of data processes, system configurations, and analytical methods

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

The ideal candidate combines strong technical skills in Python and SQL with intellectual curiosity ... Maintain detailed documentation of data processes, system configurations, and analytical methods

The ideal candidate combines strong technical skills in Python and SQL with intellectual curiosity ... Maintain detailed documentation of data processes, system configurations, and analytical methods

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Freelance Python Data Analyst information

See Evanston, 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 Evanston, IL is $31.60, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $35.29 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 the most commonly searched types of Python Data Analyst jobs in Evanston, IL? The most popular types of Python Data Analyst jobs in Evanston, IL are:
What job categories do people searching Freelance Python Data Analyst jobs in Evanston, IL look for? The top searched job categories for Freelance Python Data Analyst jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Freelance Python Data Analyst jobs? Cities near Evanston, IL with the most Freelance Python Data Analyst job openings:
Infographic showing various Freelance Python Data Analyst job openings in Evanston, IL as of June 2026, with employment types broken down into 3% Full Time, 93% Part Time, 1% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $65,724 per year, or $31.6 per hour.
Data Analyst

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

About Us
Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.

About the Role
We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.

Location: Chicago or New York

Reporting to: Chief Financial Officer 

What You'll Do
Data Engineering & Pipeline Development

  • Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
  • Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
  • Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
  • Develop data models that make financial and operational data reliable, accessible, and well-structured.

Fronting Carrier & Regulatory Reporting

  • Own the data preparation for monthly reports to insurance partners. 
  • Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).

Billing System Data Preparation & Cleansing

  • Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets. 
  • Work closely with Engineering and Finance to align data with billing schemas and business rules.

Analytics Support for FP&A and Accounting

  • Create data assets enabling self-service dashboards and analytical tools.
  • Monitor the data and ensure strong data integrity.
  • Investigate data anomalies and help Finance understand operational drivers behind performance metrics. 

What You Bring
Required

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
  • Strong SQL and Python skills and experience working with relational databases.
  • Experience with a cloud data warehouse - BigQuery preferred
  • Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
  • Comfort working with messy data, performing cleansing, reconciliation, and QA.
  • Analytical mindset with strong attention to detail
  • Ability to communicate findings clearly to non-technical stakeholders. 

Nice to Have

  • Experience in insurance, fintech, or financial services.
  • Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions.
  • Familiarity with financial systems such as ERPs or billing systems.
  • Experience with BI tools like Looker, Power BI and Tableau.
  • Experience leveraging AI to generate SQL and Python scripts. 

Who You Are

  • You're a builder who enjoys creating structure in ambiguity.
  • You're the type who spots data issues before anyone else does - then digs until you find the root cause.
  • You love empowering non-technical teams with accurate, reliable data.
  • You thrive in cross-functional work between Finance, Accounting, and Engineering.
  • This role is open to candidates based in New York or Chicago, IL

Benefits

  • Salary: $120,000-$170,000
  • ISO stock options
  • Medical, dental, and vision coverage for you and your dependents
  • HSA with company contributions
  • 401(k) with employer match
  • Flexible time off 
  • 10 company-paid holidays
  • Paid family leave