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

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

Standardize ad hoc processes and drive continuous improvement for automating and optimizing ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Medline

Sr. Azure Data Engineer

Northbrook, IL

$101K - $152K/yr

Process Improvement * Technical Direction and Guidance: Dive into the technical details of ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Medline

Sr. Azure Data Engineer

Northbrook, IL

$101K - $152K/yr

Process Improvement * Technical Direction and Guidance: Dive into the technical details of ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

Standardize ad hoc processes and drive continuous improvement for automating and optimizing ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Medline

Sr. Azure Data Engineer

Northbrook, IL · On-site

$101K - $152K/yr

Process Improvement * Technical Direction and Guidance: Dive into the technical details of ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Kemper

Senior Data Systems Analyst

Chicago, IL · On-site

$88K - $111K/yr

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

Kemper

Senior Data Systems Analyst

Downers Grove, IL

$85K - $108K/yr

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

Transunion

Data Scientist - Insurance

Chicago, IL

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Transunion

Data Scientist - Insurance

Chicago, IL

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

TransUnion

Data Scientist - Insurance

Chicago, IL

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

TransUnion

Data Scientist - Insurance

Chicago, IL · On-site

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Cna

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

Preferred experience with the insurance industry, its products and services. * Experience in implementing big data processing technology. Apache Spark preferred. Education & Experience * Bachelor ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

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

Insurance Data Processing information

See Chicago, IL salary details

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How much do insurance data processing jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for insurance data processing in Chicago, IL is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.
What are popular job titles related to Insurance Data Processing jobs in Chicago, IL? For Insurance Data Processing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Chicago, IL look for? The top searched job categories for Insurance Data Processing jobs in Chicago, IL are:
Insurance Data Processing jobs near you

Actuarial Data Analyst

Core Specialty

Chicago, IL • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Job description

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The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth

Key Accountabilities/Deliverables:

  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.

  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.

  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.

  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.

  • Listen to, understand, and break down questions into manageable tasks.

  • Use a variety of applications and technologies to answer simple and complex questions.

  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed


Technical Knowledge and Understanding:

  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.

  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.

  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company

  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.


Experience:

  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.

  • 1-3 years of experience in a professional environment working with data, analytics.

  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.

  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.

  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.

  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.


The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program

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