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Insurance Data Analytics Jobs in Naperville, IL (NOW HIRING)

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

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Insurance Data Analytics information

See Naperville, IL salary details

$24

$54

$94

How much do insurance data analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for insurance data analytics in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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 Insurance Data Analytics jobs in Naperville, IL? For Insurance Data Analytics jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Naperville, IL look for? The top searched job categories for Insurance Data Analytics jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Insurance Data Analytics jobs? Cities near Naperville, IL with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Naperville, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 8% Hybrid, and 18% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Senior Insurance Data Scientist

Independence Pet Group

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. 

Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal.  

Job Location: Remote (U.S.) Teams with hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH

Job Summary

We are seeking a Lead Data Scientist with hands-on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading pricing model development, driving analytical best practices, and serving as a subject matter expert in insurance pricing.

You will own projects end‑to‑end — from scoping to delivery — and balance a portfolio of 2–4 concurrent initiatives across pricing, research, and model enhancement. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and non‑technical audiences.

You will partner closely with actuarial, product, engineering, and business stakeholders while helping shape the analytical culture of the team.

What You’ll Do

Pricing & Modeling Leadership

  • Develop, refine, and maintain GLM‑based pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
  • Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
  • Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.

End‑to‑End Project Ownership

  • Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
  • Manage a rotating portfolio of 2–4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.

Data Exploration & Analytical Insight

  • Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
  • Perform advanced root‑cause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
  • Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.

Communication & Influence

  • Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
  • Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and cross‑functional partners.

Team Leadership & Mentorship

  • Mentor junior team members and contribute to elevating data science best practices across the organization.
  • Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and high‑trust team environment.

Required Qualifications

  • Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
  • At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
  • Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Deep understanding of GLMs, regression modeling, and statistical inference.
  • Demonstrated ability to communicate complex technical concepts to both technical and non‑technical audiences.
  • Ability to manage multiple priorities in a fast‑paced environment with a small, high‑impact team.
  • Strong problem‑solving skills, critical thinking, and attention to detail.

Preferred Qualifications

  • Experience with Snowflake, Databricks, or SQL Server.
  • Familiarity with data warehousing concepts.
  • Hands-on experience with WTW Radar, Emblem, or Earnix.
  • Experience building dashboards in Power BI or similar tools.

Who Thrives Here

This role is ideal for someone who:

  • Enjoys owning complex analytical work from start to finish.
  • Can balance multiple projects without losing quality or momentum.
  • Communicates with clarity, confidence, and humility.
  • Wants to grow into a pricing SME and influence decisions across the business.
  • Values both leading and following depending on what the project requires

#LI #carrier

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

  • Comprehensive full medical, dental and vision Insurance

  • Basic Life Insurance at no cost to the employee

  • Company paid short-term and long-term disability

  • 12 weeks of 100% paid Parental Leave

  • Health Savings Account (HSA)

  • Flexible Spending Accounts (FSA)

  • Retirement savings plan

  • Personal Paid Time Off

  • Paid holidays and company-wide Wellness Day off

  • Paid time off to volunteer at nonprofit organizations

  • Pet friendly office environment

  • Commuter Benefits

  • Group Pet Insurance

  • On the job training and skills development

  • Employee Assistance Program (EAP)

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