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Insurance Data Processing Jobs in Wisconsin (NOW HIRING)

Next Level Business Services, Inc.

Data Modeler

Madison, WI · On-site

$55.25 - $71.50/hr

... Insurance Model (IIW; IAA), Retail Data Warehouse 9) Must know the industry standard logical naming methods, Metadata management process Experience Required 7 years Roles & Responsibilities Will be ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... Insurance and credit union business in achieve their business goals. Innovizant made up of ... process or improve upon the program. • Extremely proficient in Data Analysis, data wrangling ...

Innovizant LLC

Data Scientist

Madison, WI

... Insurance and credit union business in achieve their business goals. Innovizant made up of ... Candidate will be helping the client to lead this process or improve upon the program. Extremely ...

Gritter Francona

WI · On-site

$90 - $125/hr

Nurse review * Processing of non-standard customer requests * Ensure data models enable ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Markel Corporation

WI · On-site

$116.08 - $159.61/hr

Experience identifying opportunities to improve processes, systems, and analytical capabilities through innovation and automation.* Excellent understanding of insurance data, financial reporting, and ...

New

Actalent

Data Reviewer

Verona, WI · On-site

$35 - $43/hr

Ability to articulate data review processes, including the usage of electronic and manual ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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Insurance Data Processing information

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?

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 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 are popular job titles related to Insurance Data Processing jobs in Wisconsin?

For Insurance Data Processing jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Wisconsin look for?

The top searched job categories for Insurance Data Processing jobs in Wisconsin are:

What cities in Wisconsin are hiring for Insurance Data Processing jobs?

Cities in Wisconsin with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you
Infographic showing various Insurance Data Processing job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Modeler

Next Level Business Services, Inc.

Madison, WI • On-site

$55.25 - $71.50/hr

Full-time

Re-posted 6 days ago

Job description

Job Description

Hi,


My Name is Ajay Singh and I'm a Resource Manager at Next Level Business Services, Inc.


Please find the Job Description below and respond with an expected salary range?. suitable time to call and contact details?.   

Also, attach a copy of your updated resume.


Position Title: Data Modeler

Location: Hartford/ Windsor, CT

Hire Type: Full Time Only  


Job Description:-

1) Needs to know dimensional and/or operational/3NF/transactional modeling. 

2) Needs to be able to focus heavily on data dictionary and mapping document work. 

3) with XML schema designing skills (using ACORD framework) in addition to modeling   

4) Must be very good at profiling sources and mapping them into the target model. 

5) Should have worked on any modeling tool like Erwin, rational etc. 

6) Excellent communication to interact with the business customers 

7) Property & Casualty Insurance domain experience is nice to have. 

8) Leverage any Industry Data Models (Framework) Eg IBM Insurance Model (IIW; IAA), Retail Data Warehouse 

9) Must know the industry standard logical naming methods, Metadata management process


Experience Required

7 years


Roles & Responsibilities

Will be directly working with clients and offshore counter-parts


Generic Managerial Skills

Need good verbal/written communication/Analytical skills.


Pl provides us some Prescreening Questionnaires to input into Taleo?

OLTP Design knowledge 

ODS/3NF Relational Modeling 

Email ID  

Leverage any Industry Data Models (Framework) Eg : IIW, IBM Retail Data Warehouse  

Rate your Oracle/Erwin skills  

Data design Artifact creation/support process (Mapping document) 

Data profiling knowledge (Any tools : Trillium; Oracle DQ tool) 

What kind of large projects you have been handling? Roles? 

Relevant Experience (number of years)  

Interaction/collaboration process with external (BA, Architect, Development) teams ? 

Tell me about data modeling in ODS ? 

which subject areas you worked on ODS subject area 

Availability for Interviews  

data analysis , normalized , 3NF  

transient database management account management, part day on a daily basis  

irrespective nature of data how do you handle it data loads 

how did you separate old record with new records to track the timing of the transaction. 

how would identify the latest transaction in a ODS atomic/ OLAP dimension ?  

time-variant / time-invariant surrogate keys ? Link latest Single instance of the customer with history data in ODS? 

u Have you handled multiple source integration ?  



Thanks,

Ajay Singh


Additional Information

All your information will be kept confidential according to EEO guidelines.

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