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

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Federal Signal

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 ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · Hybrid

$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 ...

Brookfield

Sr P&C Data Scientist

Chicago, IL

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 ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year ...

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How much do insurance data analytics jobs pay per hour?

As of Aug 11, 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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Naperville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 10% Hybrid, and 18% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Head of Private Data Products

Clearwater Analytics

Chicago, IL • On-site

$215K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

We are seeking a Head of Private Data Products to lead the development and go-to-market strategy for a new Private Markets Data & Analytics platform focused on private funds and private credit. The role will sit at the intersection of investment expertise, data product development, and market strategy. This high-impact position will shape how investors measure and compare private market performance, as well as optimize their allocations within private markets.
Responsibilities:
  • Benchmarks and Analytics Development: Define, build, and commercialize a comprehensive suite of benchmarks, analytics, and datasets that support institutional investors and asset managers in making informed asset allocation and portfolio construction decisions across various private market sectors, including Hedge Funds, Private Equity, Private Credit/Direct Lending, Private Real Estate, and Venture Capital.

  • Market Strategy: Develop a strategic go-to-market plan that positions our platform as the leading choice for private markets data and analytics. This includes identifying target customer segments, crafting value propositions, and building a robust brand presence in the marketplace.

  • Cross-Functional Collaboration: Partner closely with product management, data science, engineering, and sales teams to ensure the platform meets market needs. Foster a culture of collaboration and innovation, driving the successful execution of product development and launch initiatives.

  • Client Engagement: Engage directly with customers to understand their challenges and requirements, translating these insights into product features and enhancements. Represent the company at industry conferences, workshops, and client meetings to showcase thought leadership in private markets data analytics.

  • Performance Measurement: Establish methodologies for benchmarking and performance measurement that are rigorous, transparent, and trusted by the investment community. Ensure that analytics reflect current market conditions and best practices.

  • Market Research: Stay abreast of industry trends, regulatory changes, and competitive landscape, providing insights to inform product direction and market opportunities. Contribute to white papers, reports, and other thought leadership materials that position our firm as a key player in the private markets space.

Qualifications:
  • Bachelor's degree in Finance, Economics, Business, Computer Science, or a related field; advanced degree (MBA or Master's) preferred.

  • 10+ years of experience in private markets, data analytics, investment management, or related fields.

  • Strong expertise in private equity, private credit, venture capital, hedge funds, and real estate markets.

  • Proven track record of developing and commercializing financial products that serve institutional investors.

  • Excellent analytical skills with a deep understanding of investment performance metrics and benchmarking methodologies.

  • Strong communication and interpersonal skills, with the ability to explain complex concepts to diverse audiences.

  • Experience working in a cross-functional team environment, with a strong focus on collaboration and results-driven outcomes.

Salary Range:
Chicago: $170,000-$240,000
New York: $215,000-$280,000
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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