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Insurance Data Analytics Jobs in Illinois (NOW HIRING)

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 ...

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Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Illinois

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 are popular job titles related to Insurance Data Analytics jobs in Illinois?

For Insurance Data Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Illinois look for?

The top searched job categories for 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:

Insurance Data Analytics jobs near you
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.

Data & Analytics Engineer (Microsoft Fabric)

Gulf Coast Automation Group

Chicago, IL • Remote

$110K - $130K/yr

Full-time, Contractor

Medical, Retirement, PTO

Re-posted 11 hours ago

Job description

Job Title: Data & Analytics Engineer (Microsoft Fabric)
Primary Location: 2 days a week in Chicago's north Suburbs
Position Type: Direct hire
Overview
TalentFish is casting a line for a Data & Analytics Engineer to join a remote Contract-to-Hire opportunity with a client based in Illinois.
This role is ideal for a hands-on data professional who will serve as the client's internal Microsoft Fabric and Data Engineering subject matter expert (SME). The successful candidate will lead the design, development, and optimization of modern data solutions while driving best practices across Microsoft Fabric, Azure Databricks, SQL, and Power BI. You will partner with business and technical stakeholders to build scalable data platforms, establish governance standards, and deliver trusted analytics that support strategic business decisions.
What You Bring to the Role (Ideal Experience)

  • 6–8+ years of experience in Data Engineering, Data Analytics, Data Architecture, or a related discipline.
  • Bachelor's degree or equivalent combination of education and professional experience.
  • Advanced SQL skills, including data modeling, query optimization, and performance tuning.
  • Deep experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and Fabric Pipelines.
  • Strong experience with Azure Databricks, Delta Lake, Spark, and modern ELT/ETL development.
  • Experience designing scalable data architectures and enterprise data platforms.
  • Strong understanding of data governance, security, metadata management, and data quality best practices.
  • Experience integrating Microsoft Fabric with Azure Databricks using OneLake shortcuts and Delta Sharing.
  • Proficiency with Power BI, including semantic models, DAX, and enterprise reporting.
  • Experience with Azure DevOps, Git, CI/CD pipelines, and release management.
  • Experience supporting enterprise analytics initiatives and collaborating with cross-functional teams.
  • Strong analytical, communication, and stakeholder management skills.

What You'll Do

  • Serve as the client's internal Microsoft Fabric expert, providing technical leadership and guidance on enterprise data architecture and platform capabilities.
  • Design, build, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric, Azure Databricks, SQL, and Power BI.
  • Architect and optimize Lakehouse and Warehouse solutions within Microsoft Fabric.
  • Develop enterprise data models that support reporting, analytics, and AI initiatives.
  • Design and implement robust ELT/ETL processes for structured and semi-structured data.
  • Establish and promote data engineering best practices, governance standards, and data quality processes.
  • Build secure, scalable, and high-performing data environments across Microsoft Fabric and Azure.
  • Integrate Microsoft Fabric and Azure Databricks through OneLake shortcuts, Delta Sharing, and modern data architecture patterns.
  • Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
  • Support Data Engineering, Analytics, BI, and Data Science teams by providing reliable and governed data assets.
  • Develop executive dashboards, KPIs, and analytical reporting using Power BI.
  • Manage Azure DevOps repositories, pipelines, and deployment processes supporting continuous delivery.
  • Monitor and optimize platform performance, data pipelines, and storage utilization.
  • Evaluate and recommend emerging Microsoft data technologies and Fabric capabilities to continuously improve the client's data ecosystem.
  • Act as the primary point of contact for Microsoft Fabric architecture, data engineering strategy, and platform best practices across the organization.

Compensation Information
The expected compensation for this position is $110-130K yearly, depending on experience and qualifications. This Contract-to-Hire opportunity also offers comprehensive benefits, including health insurance, 401(k), and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This position requires authorization to work in the United States without current or future visa sponsorship.
All offers are contingent upon successful completion of a background check, which may include employment verification, education verification, reference checks, criminal history, drug screening, and other client-specific compliance requirements.
TalentFish is an employee-owned company transforming IT staffing through innovative technology, AI-driven recruiting, and an exceptional client and consultant experience.
TalentFish is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.