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Insurance Data Analytics Jobs in Illinois (NOW HIRING)

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 ...

Qualifications & Skills • Bachelor's degree in Computer Science, Data Analytics, Business ... insurance, paid time off and holidays, and additional wellness and lifestyle benefits.

Qualifications & Skills · Bachelor's degree in Computer Science, Data Analytics, Business ... insurance, paid time off and holidays, and additional wellness and lifestyle benefits.

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 ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Qualifications: * Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science ... disability, life insurance and other plans effective date of hire. You will be eligible to ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Qualifications: * Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science ... disability, life insurance and other plans effective date of hire. You will be eligible to ...

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics ... Benefits include, but are not limited to; medical, prescription drug, dental and vision insurance ...

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

Qualifications: * Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science ... disability, life insurance and other plans effective date of hire. You will be eligible to ...

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

Bachelor's degree or foreign degree equivalent in Data Science, Data Analytics, Business ... Medical/Dental/Vision Insurance, PTO, 401K #LI-DNI Please note this is not designed to cover or ...

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

Bachelor's degree or foreign degree equivalent in Data Science, Data Analytics, Business ... Medical/Dental/Vision Insurance, PTO, 401K #LI-DNI Please note this is not designed to cover or ...

Showing results 41-60

Insurance Data Analytics information

See Illinois salary details

$23

$53

$91

How much do insurance data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for insurance data analytics in Illinois is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.10 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 Illinois?

The most popular types of Insurance Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Insurance Data Analytics jobs?

Cities in Illinois with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $110,346 per year, or $53.1 per hour.

$75K - $95K/yr

Full-time

Medical, Dental, Vision

Posted 17 days ago


Job description

nar.realtor
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JOIN OUR TEAM >> Data Analyst
Data Analyst
Summary
Title: Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Strategic Business Innovation & Technology
More about this job >
Description

Position Summary:

NAR is seeking a Data Analyst to help deliver data-driven insights, analytics solutions, and AI-enabled products that support decision-making across the organization. This role focuses on working directly with business stakeholders to understand analytical requirements, transform complex and fragmented data into actionable information, and build scalable solutions that provide measurable business value. 

The Data Analyst will design and implement data preparation processes, perform advanced analysis, and develop applications and visualizations. They will make data and analysis accessible to non-technical audiences. The role works extensively within the Microsoft Azure and Microsoft Fabric ecosystems and involves close collaboration with data scientists, and business stakeholders in different parts of the organization. 

The successful candidate will contribute to data quality initiatives, AI-assisted analytics workflows, and the development of new solutions that leverage both traditional analytics and AI technologies. The ideal candidate is comfortable working across analytics, visualization, and application development disciplines, with a practical focus on delivering solutions that are reliable, scalable, and widely adopted by the business. 

Duties and Responsibilities:

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions 

  • Extract, transform, clean, and validate data from multiple internal and external sources to support analytics, reporting, and operational decision-making 

  • Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting 

  • Create dashboards that effectively communicate insights to business audiences using technologies such as Power BI, Streamlit, Django, and other frameworks 

  • Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects 

  • Participate in source control, deployment, and project management processes using tools such as Git and Jira 

  • Other duties, as assigned 


Qualifications:

  • Bachelor's degree in Computer Science or a closely related field. 

  • Minimum of 2+ years of professional experience in data analytics or a related technical role. 

  • Strong proficiency in SQL, including experience writing complex queries. 

  • Strong Python development skills, including working with notebooks, expertise with data analysis libraries (e.g., Pandas, NumPy, SciPy), and use of visualization libraries (e.g., Plotly, Matplotlib). 

  • Experience building dashboards using tools such as Power BI, Streamlit, or Django. 

  • Experience working with cloud-based platforms and services; Microsoft Azure and Microsoft Fabric experience preferred. 

  • Use of Git and use of project management systems such as Jira. 

  • Good grasp of basic statistical concepts. 

  • Ability to communicate complex technical concepts clearly and effectively to non-technical audiences. 

  • Ability to work independently with minimal supervision while managing multiple priorities and deadlines. 

  • Experience with AI, such as the use of AI-code generation, is a positive. 

  • Advanced Microsoft Excel skills for data analysis and reporting are preferred 


Compensation: $75,000 - $95,000 depending on office location

NAR provides comprehensive benefits including health/dental/vision insurance.
NAR is on a hybrid schedule and in the office 3 days a week.


Organizational Overview:

The National Association of REALTORS (NAR) is a team of professionals dedicated to providing world-class service to approximately 1.5 million REALTORS working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of real estate. As in every industry, our members' value proposition is constantly being challenged by innovation.
It is our mission to empower REALTORS as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. 

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