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

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business ...

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/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

Drive analysis that provides meaningful insights on business strategies Data Management * Drive an ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Data Analyst (Data Governance)

Chicago, IL · Remote

$78.80K - $145.13K/yr

The ideal candidate must have hands-on experience with SQL, Python and working with relational ... Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO ...

Data Analyst (Data Governance)

Chicago, IL · On-site

$78.80K - $145.13K/yr

The ideal candidate must have hands-on experience with SQL, Python and working with relational ... Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO ...

Principal Data Scientist

Chicago, IL · On-site +1

$131.75K - $178.25K/yr

The Principal Data Scientist will support Tendo analytics projects focused on quality management ... Hands-on experience writing Python code including, but not limited to, machine learning, data ...

The Principal Data Scientist will support Tendo analytics projects focused on quality management ... Hands-on experience writing Python code including, but not limited to, machine learning, data ...

Remote (Work From Home) Employment Type: Full-Time Job Summary We are seeking a motivated and detail-driven Junior Data Analyst to join our analytics team. This role is ideal for candidates with 0-3 ...

Associate Consultant

Chicago, IL · On-site +1

$72K - $94K/yr

Design, code, and test custom data solutions using SQL, Python, and Definian's proprietary software, Applaud, using AI accelerators. * Conduct data analysis and provide actionable insights to ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Data Science Intern

Chicago, IL · On-site

$1.20K/wk

Analyze data on product, sales and GTM hypotheses. * Translate product, sales and GTM requests into ... You are comfortable working in Python and using Git to track your work (~ 1 year of experience with ...

Data Engineer

Chicago, IL

$118K - $141.60K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Data Analyst, OSD

Chicago, IL · On-site

$54K - $77.50K/yr

This is a full-time, exempt position that will be paid for time worked on a salary basis. The Data ... using analysis tools such as SAS, SQL, Python, or R to extract meaningful insights * Apply ...

Senior Data Scientist

Chicago, IL

$110.50K - $149.50K/yr

The Senior Data Scientist will support Tendo analytics projects focused on quality management and ... Hands-on experience writing Python code including, but not limited to, machine learning, data ...

Lead Data Analyst

Chicago, IL · On-site

$119.56K - $134.75K/yr

Provide descriptive and diagnostic analysis to inform product decision-making, evaluate performance ... Python for the purposes of solving business Questions; * A/B testing and product analytics.

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Full Time Python Data Analysis information

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 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 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 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 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:

$120K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Honeycomb
At Honeycomb, we're not just building technology, we're reshaping the future of insurance.
In 2025, Honeycomb was recognized by Dun & Bradstreet as "Top 10 Best Start Up Companies to Work For" in Israel and named by LinkedIn as "Top 10 Startups in Chicago".
How did we earn these honors?
Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.
With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage.
If you're looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you've been looking for.
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