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

E-Solutions

Reporting Data Analyst

Chicago, IL · On-site

ROLE SUMMARY The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Hylant

Lead Data & Analytics Architect

Chicago, IL

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 ...

Medline

Sr Director Data & Analytics

Northfield, IL

$177K - $266K/yr

Job Summary Lead enterprise data and analytics teams in this pivotal role driving data-driven ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

New

Medline

Sr Director Data & Analytics

Northfield, IL

$177K - $266K/yr

Job Summary Lead enterprise data and analytics teams in this pivotal role driving data-driven ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

New

World Insurance Associates LLC

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 ...

World Insurance Associates LLC

Data Analyst

Chicago, IL · On-site

$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 ...

Medline

Data Analytics IT Architect

Northbrook, IL

$134K - $201K/yr

Job Summary As a Data and Analytics Architect, you will partner with business, functional, and ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Medline

Data Analytics IT Architect

Northbrook, IL · On-site

$134K - $201K/yr

Job Summary As a Data and Analytics Architect, you will partner with business, functional, and ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Chicago, IL

Insurance Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do insurance data analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for insurance data analytics in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 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?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

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.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

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 Chicago, IL? The most popular types of Insurance Data Analytics jobs in Chicago, IL are:
What are popular job titles related to Insurance Data Analytics jobs in Chicago, IL? For Insurance Data Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Chicago, IL look for? The top searched job categories for Insurance Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Insurance Data Analytics jobs? Cities near Chicago, IL with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Chicago, IL as of June 2026, with employment types broken down into 5% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,306 per year, or $56.4 per hour.
Reporting Data Analyst

Reporting Data Analyst

E-Solutions

Chicago, IL • On-site

Other

Posted 8 days ago

Job description

Reporting Data Analyst
Onsite Location
Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS
Hybrid schedule of at least three in-office days per week, Candidates that are not local must relocate within a few weeks of onboarding. Remote candidates will not be considered.
• . 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
ROLE SUMMARY
The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role serves as a subject matter expert (SME) on enterprise data warehouse content and key source systems, ensuring accurate interpretation of insurance data, consistent definitions, and reliable reporting outputs.
ROLE RESPONSIBILITIES
• Act as a data and domain SME for P&C insurance subject areas (e.g., policy, claims, financials).
• Collaborate with business stakeholders to gather, clarify, and validate reporting and extract requirements.
• Translate insurance business concepts into accurate data logic, metrics, and dimensional definitions.
• Leverage knowledge of source applications (e.g., Guidewire, Genius, SAP) to ensure correct data interpretation and lineage.
• Ensure reports and extracts align with approved business definitions, regulatory needs, and data governance standards.
• Create and validate SQL queries, views, or semantic-layer objects against the enterprise data warehouse.
• Review and certify reports for accuracy, reconciliation, and consistency across systems.
• Document data definitions, business rules, and reporting assumptions.
• Support UAT and investigate data discrepancies between source systems and the data warehouse.
• Educate business users on proper interpretation and usage of insurance data.
TECHNICAL QUALIFICATIONS
• 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
• Understanding of dimensional modelling and enterprise reporting concepts.
GENERAL QUALIFICATIONS
• Strong initiative; able to self-manage. Comfortable with ambiguity and able to work through it to get the right things done.
• Excellent Communication skills, both written and verbal, understanding communication channels and escalation paths.
• Proven experience working directly with senior business stakeholders

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