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

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 · 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 ...

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 ...

(Senior) Corporate Data Analyst

Chicago, IL · On-site +1

$67K - $101K/yr

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

Insurance Program Analyst Seeking a highly analytical and detail-oriented individual to support our ... in accounting, finance, data analytics, business analysis, or a related field preferred

Insurance Program Analyst

Chicago, IL · On-site

$60K - $80K/yr

Insurance Program Analyst Seeking a highly analytical and detail-oriented individual to support our ... in accounting, finance, data analytics, business analysis, or a related field preferred

Showing results 41-60

Insurance Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do insurance data analytics jobs pay per hour?

As of Aug 6, 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 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 Chicago, IL? The most popular types of Insurance Data Analytics jobs in Chicago, IL 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:
Infographic showing various Insurance Data Analytics job openings in Chicago, IL as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $117,306 per year, or $56.4 per hour.

Enterprise Data Delivery Specialist

Northern Trust

Chicago, IL • On-site

$95K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

About Northern Trust


As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.


Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.


With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.


Role Summary: Lead enterprise-wide Master Data Management (MDM) initiatives across client, product, third-party, and account domains, ensuring high-quality, integrated master data to support our data governance and digital transformation goals.

Responsibilities:

  • Own and lead assigned Master Data subdomains (e.g., Client, Product, Reference Data), ensuring data integrity, consistency, and alignment with enterprise standards
  • Drive end-to-end data quality initiatives, from profiling and issue identification through root cause analysis, remediation design, and execution
  • Perform deep-dive data analysis and profiling to identify patterns, anomalies, and opportunities for improving data accuracy and completeness
  • Define and implement data quality rules, controls, and monitoring frameworks to proactively manage data issues
  • Partner with business and technology stakeholders to resolve data issues at source, influencing process and system changes for sustainable improvement
  • Lead data governance and stewardship activities, including management of critical data elements (CDEs), metadata, lineage, and business rules
  • Collaborate with technology and architecture teams on data ingestion, integration, and MDM enhancements, ensuring alignment to the target operating model
  • Drive continuous improvement initiatives across master data processes, including automation, standardization, and optimization of data flows
  • Support delivery of regulatory, operational, and analytical data requirements, ensuring trusted data is available for downstream consumption
  • Act as a subject matter expert (SME) for assigned domains, guiding junior analysts and contributing to best practices across the MDM organization

Qualifications & Skills

  • Advanced SQL skills with the ability to query, join, reconcile, and analyze large datasets across multiple systems
  • Strong experience in data profiling and identifying data patterns, anomalies, and quality issues
  • Proven capability in data quality management including rule definition, defect analysis, and remediation tracking
  • Solid understanding of Master Data Management (MDM) concepts (match/merge, survivorship, golden record, stewardship)
  • Experience with data governance practices, including metadata, lineage, and critical data element (CDE) management
  • Demonstrated ability to perform root cause analysis and drive resolution of data issues at source
  • Strong analytical thinking and problem-solving skills with high attention to detail
  • Excellent communication skills with the ability to present insights and work effectively with business and technology stakeholders
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field

Preferred Experience:

  • Experience with data governance / data quality tools (e.g., Collibra or similar)
  • Exposure to financial services, regulatory, or client, account, product, reference data domains
  • Experience with Python or BI tools (Power BI, Tableau) for advanced analysis and reporting

Salary Range:

$95,600 - 162,400 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.


Work Authorization


Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).


Working with Us


As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.


Philanthropy is deeply rooted in Northern Trust's history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.


Reasonable Accommodation


Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.



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