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

Old Republic

Data Analyst

Chicago, IL · On-site

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 ...

Plz Aeroscience

IT Data Analytics Lead

Downers Grove, IL · On-site

$140K/yr

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 ...

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 ...

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 ...

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 ...

The Hartford

Business Data Analyst

Chicago, IL · Hybrid

$80K - $120K/yr

... and analytics projects. * Deep Insurance Domain fluency, translate regulatory, actuarial and product needs into data logic. * Use GenAI for mapping, profiling, BRD acceleration and Validate AI ...

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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 Jul 19, 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?

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 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 July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $117,306 per year, or $56.4 per hour.

Data Analyst

Old Republic

Chicago, IL • On-site

Other

Posted 25 days ago

Job description

Reports To: Manager, Data & Analytics

Department: Regulatory Compliance Services

Location/Schedule: Chicago, IL/Hybrid, 3 days in-office and 2 days remote

Classification: Full-Time /Exempt


Who We Are:

Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart.


Position Overview:

The Data Analyst role delivers enterprise data analytics and business intelligence to support data‑driven decision‑making across Regulatory Compliance and Compliance Shared Services. Based at the Chicago corporate office, the role provides analysis of operational Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) across ORI’s decentralized operating company structure.


This role partners closely with insurance operations, compliance, and designated project leads, as well as business owners, to source and transform data, implement and monitor controls, perform statistical analysis, and develop enterprise‑level reporting and visualizations. Dashboard reporting is expected to highlight trends, patterns, and risk indicators that inform strategic initiatives, support governance objectives, and drive operational consistency across the operating companies.


Essential Job Functions:

  • Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
  • Completes data gathering and cleaning from various sources, ensuring data integrity and quality.
  • Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
  • Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively
  • Identifies KPIs and develops metrics to inform operational design as well as tactical and strategic decision‑making from various systems (Licensing, Filing, Underwriting, Finance, Contracts, compliance systems to assess key compliance risks KPIs and operational KPIs, etc.)
  • Collaborates with cross-functional teams to optimize data collection, storage, and retrieval processes that will foster positive relationships with both internal teams and external partners.
  • Address reporting errors and system-created issues through data analysis and problem-solving
  • Stay updated with industry trends and best practices in data analysis, visualization, and reporting


Qualifications:

  • At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession
  • Expert-level proficiency in Microsoft Excel for data analysis, reporting, and complex functions (e.g., pivot tables, macros, advanced formulas)
  • Advanced-level experience with data analysis and visualization tools such as Power BI or Smartsheets
  • Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
  • Knowledge of data visualization best practices to effectively communicate insights
  • Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
  • Familiarity with data modeling and data warehousing concepts
  • Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
  • Excellent communication skills to convey complex data findings to both technical and business executives
  • Attention to detail and ability to maintain data accuracy and integrity



ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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