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Insurance Data Processing Jobs in Wisconsin (NOW HIRING)

Medical Records Clerk - BHS

Milwaukee, WI ยท On-site

$18 - $22.51/hr

... insurance data. Enter and verify client information. Perform insurance verification, legal processing, and release processing. * Enter accurate client information into the system to open new accounts ...

Benefits Analyst

La Crosse, WI ยท On-site

$66K - $99K/yr

... insurance, 401k, paid time off, and more. Benefits Analyst Turn Benefits Data Into Insights That ... If you enjoy working with data, solving problems, improving processes, and helping others, this ...

The role has strong accountability for governance of ERP data, engineering change processes, and ... Employer paid disability plans and life insurance * Paid Time Off & Holidays * Flexible Work ...

The role has strong accountability for governance of ERP data, engineering change processes, and ... Employer paid disability plans and life insurance * Paid Time Off & Holidays * Flexible Work ...

WI ยท On-site

$109K - $145K/yr

Document data engineering processes, standards, and best practices to promote adoption across teams ... Competitive Medical, Dental and Vision Insurance Plans. * 6% 401K matching. * Unlimited access to ...

Medical Records Clerk - BHS

Milwaukee, WI ยท On-site

$18 - $22.51/hr

... insurance data. Enter and verify client information. Perform insurance verification, legal processing, and release processing. * Enter accurate client information into the system to open new accounts ...

Depending on clearance processing, week 2-12 would be from home working Monday-Friday 7:30am-2pm ... Company Paid Life Insurance * 401k/Roth IRA Match available after waiting period * Medical, Dental ...

Depending on clearance processing, week 2-12 would be from home working Monday-Friday 7:30am-2pm ... Company Paid Life Insurance * 401k/Roth IRA Match available after waiting period * Medical, Dental ...

Data Architect

Fond Du Lac, WI ยท On-site

$62.75 - $80.75/hr

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect ... You take ownership of challenges and drive improvements in architecture, standards, and processes.

Extract and import data from multiple programs. * Process garnishments, tax levies, court orders ... Vision Insurance * Cancer Insurance * Voluntary Life Insurance * Paid Time Off * Remote work ...

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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 cities in Wisconsin are hiring for Insurance Data Processing jobs?

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

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.

Lead Product Quality - Data Analyst

Wauwatosa, WI โ€ข On-site

Full-time, Part-time

Medical, Retirement

Re-posted 6 days ago


Job description

Auto req ID: 55270
Title: Lead Product Quality - Data Analyst
Job Function: Continuous Improvement and Quality
Location: PDC
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1

At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?
The Harley-Davidson Motor Company Product Development Center (PDC) located in Wauwatosa, WI is home to the mantra - You dream it. We build it. Join our team as a Lead Product Quality - Data Analyst.
Job Summary
The Lead Product Quality Data Analyst plays a critical role in shaping data-driven decision making across Harley-Davidson's global Quality organization. This role leads the strategy, development, and delivery of advanced analytics that drive improvements in product quality, warranty performance, and customer satisfaction.
This individual acts as a trusted advisor and subject matter expert, translating complex data into actionable insights, influencing cross-functional decisions, and enabling proactive identification and resolution of quality issues across product development, manufacturing, and field performance.
The ideal candidate thrives in ambiguity, demonstrates strong business acumen, and is passionate about uncovering the "why" behind data to drive meaningful outcomes.
Job Responsibilities
Strategic Leadership
  • Define and lead analytics strategy for warranty and quality data
  • Establish best-in-class approaches for data visualization and user interaction
  • Act as global SME for product quality analytics

Analytics & Insights
  • Apply advanced analytics techniques, including predictive modeling and machine learning, to anticipate quality risks
  • Develop scalable data solutions and automate data pipelines for improved efficiency
  • Ensure data accuracy, integrity, and governance across quality systems
  • Leverage modern analytics tools and AI capabilities to enhance insight generation

Data Product & Reporting
  • Design and deliver dashboards, KPIs, and self-service analytics tools
  • Standardize quality metrics across global operations
  • Improve accessibility and usability of data across stakeholders

Operational Support
  • Support investigations into emerging quality concerns
  • Lead warranty review cadence and decision-making forums
  • Enable data-driven problem-solving (e.g., 8D, root cause analysis)

Cross-Functional Leadership
  • Partner with Engineering, Manufacturing, Warranty, and Supplier Quality
  • Influence decision-making at multiple organizational levels
  • Coach and mentor analysts and business stakeholders

Education Requirements
High School Diploma or Equivalent Required
Education Specifications
A bachelor's degree in a relevant quantitative discipline preferred. Advanced training in statistics, predictive analytics, business intelligence or a related field is preferred.
Experience Requirements
This position typically requires 8+ years of experience in data analytics, preferably in manufacturing or product quality environments. In addition, the successful candidate will have demonstrated the following:
  • Proven track record of influencing business decisions through data insights
  • Experience supporting quality systems, warranty analysis, or field performance analytics strongly preferred
  • Demonstrated ability to work in ambiguous environments and lead cross-functional initiatives
  • Proven expertise with various quantitative techniques, data formats, and methodologies
    • Data Visualization: Power BI, Tableau
    • Data Processing: SQL, Alteryx, Python, R
    • Statistical Methods: Reliability analysis (Weibull), regression, hypothesis testing
    • Data Platforms: Experience working with large, complex datasets across multiple systems
  • Demonstrated ability to lead without authority and influence cross-functional teams
  • Experience presenting to senior leadership and driving actionable outcomes
  • Ability to translate complex analytics into clear business narratives
  • General knowledge of manufacturing processes (assembly, machining, welding) a plus.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.
We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.
Applicants must be currently authorized to work in the United States.
Direct Reports: No
Travel Required: 0 - 10%
Pay Range: $107,100 - $165,900

Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)