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Freelance Insurance Data Analytics Jobs in Naperville, IL

... data analytics, business intelligence, and data-driven decision-making. Key Responsibilities ... Medical, dental, and vision insurance * Paid holidays and generous paid time off * Retirement ...

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... Key Responsibilities Pricing & Insurance Analytics * Develop, refine, and maintain analytical ...

Data Analyst

Chicago, IL · On-site

$74 - $104/hr

Bachelor's degree in Data Science, Data Analytics, Business Administration, or a related field, or ... Medical, Dental, and Vision Insurance * Paid Time Off (PTO) * 401(k) with company match * Parental ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

The data analytics team/program primarily supports, identifies and implements data analytics ... insurance (life, medical, dental, vision), paid holidays, paid vacation, 401(k) with matching ...

The data analytics team/program primarily supports, identifies and implements data analytics ... insurance (life, medical, dental, vision), paid holidays, paid vacation, 401(k) with matching ...

Showing results 21-40

Freelance Insurance Data Analytics information

See Naperville, IL salary details

$152.8K

$178.5K

$201.7K

How much do freelance insurance data analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for freelance insurance data analytics in Naperville, IL is $178,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,300.00 and $191,200.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Insurance Data Analytics vs Insurance Data Analyst?

AspectFreelance Insurance Data AnalyticsInsurance Data Analyst
CredentialsOften self-taught or with certifications; formal degrees preferredBachelor's or higher in data analysis, statistics, or related fields
Work EnvironmentRemote, flexible projects for multiple clientsTypically in-house or remote within insurance companies or agencies
Employer & Industry UsageFreelance platforms, consulting firms, insurance companiesInsurance firms, underwriting companies, brokers

Freelance Insurance Data Analytics involves independent work on various projects, offering flexibility and diverse experience. In contrast, an Insurance Data Analyst usually works within an organization, focusing on ongoing data analysis to support business decisions. Both roles require strong analytical skills, but their work settings and client interactions differ significantly.

What are the most commonly searched types of Insurance Data Analytics jobs in Naperville, IL?

The most popular types of Insurance Data Analytics jobs in Naperville, IL are:

What are popular job titles related to Freelance Insurance Data Analytics jobs in Naperville, IL?

For Freelance Insurance Data Analytics jobs in Naperville, IL, the most frequently searched job titles are:

What cities near Naperville, IL are hiring for Freelance Insurance Data Analytics jobs?

Cities near Naperville, IL with the most Freelance Insurance Data Analytics job openings:

Infographic showing various Freelance Insurance Data Analytics job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $178,483 per year, or $85.8 per hour.

Data Analyst

Benda Infotech

Chicago, IL

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Role Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets from multiple sources.
  • Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Perform exploratory data analysis to identify trends, patterns, and business opportunities.
  • Create visualizations that communicate insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
  • Monitor key performance indicators (KPIs) and prepare recurring business reports.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Automate recurring reports and improve existing reporting processes.
  • Document data models, business rules, and analytical methodologies.
  • Support ad hoc analysis and provide recommendations based on business needs.
Qualifications & Requirements Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
  • 0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
  • Internship or academic project experience in data analysis or business intelligence.
  • Experience creating dashboards and executive reports.
  • Knowledge of KPIs, business metrics, and reporting frameworks.
  • Familiarity with Agile methodologies and project collaboration tools.
  • Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
  • Experience working with structured and unstructured datasets is an advantage.
Soft Skills
  • Critical Thinking
  • Analytical Mindset
  • Problem Solving
  • Attention to Detail
  • Communication Skills
  • Time Management
  • Team Collaboration
  • Adaptability
  • Curiosity and Continuous Learning
What We Offer
  • Competitive salary and comprehensive benefits package
  • Annual performance bonus eligibility
  • Medical, dental, and vision insurance
  • Paid holidays and generous paid time off
  • Retirement savings plan with employer contributions
  • Professional development and certification support
  • Mentorship from experienced data professionals
  • Exposure to enterprise-level analytics and business intelligence projects
  • Collaborative and innovative work environment
  • Career growth opportunities