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

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 ...

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... scalable analytics solutions, and uncovering insights that drive financial and operational ... Perks & Benefits • 401(k) with Employer Match • Health Insurance (with HSA option) • Dental ...

Manager, Data & Analytics Department: Regulatory Compliance Services Location/Schedule: Chicago, IL ... Old Republic is a leading specialty insurer that operates diverse property & casualty and title ...

This role includes a blend of data management, analytics, and business intelligence ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

This role includes a blend of data management, analytics, and business intelligence ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

Learn more at www.plzcorp.com/careers or visit We are looking for an IT Data Analytics Lead to ... Voluntary benefits including additional life, disability, and hospital/accident insurance. * 401k ...

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Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Jul 15, 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 the Insurance Data Analytics position, and why are they important?

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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:
Director of Data & Analytics

Director of Data & Analytics

Gallagher

Rolling Meadows, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Arthur J. Gallagher & Co. rating

7.8

Company rating: 7.8 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

168th of 281 rated insurance


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

The Director of Data Analytics leads a team of 10+ analytics professionals and is responsible for advancing the organization’s analytics strategy, delivery, and capabilities. This role drives data-informed decision-making by delivering insights that support business performance, operational management, and executive leadership across the enterprise. Leveraging Gallagher’s enterprise data warehouse, the Director translates complex data on customers, purchasing behaviors, and insurance risk characteristics into scalable reporting and actionable insights. The role also partners closely with IT and data governance to shape data strategy, oversee data initiatives, and ensure the quality, value, and effective use of enterprise data assets.


How you'll make an impact
  • Lead and manage 10 professionals on the data analytics team, fostering a culture of innovation and excellence.
  • Develop and implement comprehensive data analytics strategies aligned with business goals. Solutions will monetize value of our enterprise data platform. Enterprise data sets include client information, detailed insurance information about client’s policies, claims, operational information, and industry-specific data sets.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions, including risk consultation and purchase analytics for insurance customers.
  • Oversee the design, development, and maintenance of data models, dashboards, and reports.
  • Ensure data integrity, accuracy, and security across all analytics platforms. Work closely with IT and enterprise data governance to set and maintain quality standards.
  • Provide actionable insights and recommendations to senior leadership to support strategic decision-making and inform tactical management actions.
  • Stay abreast of insurance industry trends and emerging data technologies to continuously improve analytics capabilities.
  • Manage relationships with external vendors and partners to enhance data analytics resources.
  • Develop and monitor key performance indicators to measure the effectiveness of analytics initiatives.
  • Mentor and develop team members, promoting professional growth and skill development. Participate in programs to increase the overall data competency across divisional teams.

About You
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1



Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1


Education:UNAVAILABLEEmployment Type: FULL_TIME

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