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Insurance Data Processing Jobs in Wisconsin (NOW HIRING)

WI Β· On-site

By combining satellite observations, advanced image processing and data science, we transform large ... A competitive salary with a range of benefits, including allowances, insurance, and a modular ...

Manage customer insurance data entry, process policy updates, and track policy expirations, cancellations, and renewals. * Set up physical customer files and labels, scanning insurance and deal ...

Manage customer insurance data entry, process policy updates, and track policy expirations, cancellations, and renewals. * Set up physical customer files and labels, scanning insurance and deal ...

Manage customer insurance data entry, process policy updates, and track policy expirations, cancellations, and renewals. * Set up physical customer files and labels, scanning insurance and deal ...

Lead Data Engineer

Madison, WI Β· On-site

$103K - $136K/yr

Optimize data processing performance, reliability, and cost efficiency across cloud environments ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Data Modeler (insurance Domain)

Madison, WI Β· On-site

$55.25 - $71.50/hr

... and B2B process integration solutions. Our company provides application analysis, design ... Basic understanding and experience of the Insurance business domain Knowledge of ACORD data model ...

This role involves data processing, quality control, and implementing best practices for data ... insurance, PTO, 401(k) and professional development/advancement opportunities. NV5 provides equal ...

This role involves data processing, quality control, and implementing best practices for data ... insurance, PTO, 401(k) and professional development/advancement opportunities. NV5 provides equal ...

Data Engineer III, Hiring Lab

Milwaukee, WI Β· On-site

$112K - $135K/yr

Experience designing scalable data models and optimizing large-scale data processing workflows ... insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based ...

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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.

Satellite Image Processing Expert

WI β€’ On-site

Other

Posted 13 days ago


Key responsibilities

  • Develop and maintain image processing workflows that transform raw satellite observations into analysis‑ready products.

  • Implement and improve algorithms for geometric and radiometric processing, atmospheric correction, and cloud masking.

  • Define Earth Observation products with stakeholders and translate user requirements into technical specifications for image processing algorithms.


Job description

At VITO, we develop innovative Earth Observation solutions that help tackle societal challenges such as climate change, sustainable land management and environmental monitoring. By combining satellite observations, advanced image processing and data science, we transform large volumes of EO data into reliable information products that support decision making for governments, industry and international organisations.

As part of our Earth Observation team, you will contribute to the development of next‑generation satellite data processing solutions. You will work on projects ranging from mission preparation and payload specifications definition to the implementation of operational processing chains for EO missions ranging from optical over TIR to SAR. Your work will combine scientific expertise with software development, helping to bridge the gap between innovative processing algorithms and operational EO services.

You will collaborate closely with researchers, software engineers, system engineers, business developers and external partners in an interdisciplinary environment where innovation and knowledge sharing are key.

More specifically, you will:
  • Define Earth Observation products together with customers, business developers and system engineers, ensuring they address application needs and mission objectives.
  • Translate user requirements into technical specifications for image processing algorithms and operational data products.
  • Contribute to the design and assessment of future satellite missions by evaluating payload concepts from a downstream data processing perspective.
  • Develop and maintain image processing processors/workflows that transform raw satellite observations into calibrated, geometrically corrected and analysis‑ready products.
  • Implement and improve existing algorithms for geometric and radiometric processing, atmospheric correction, cloud masking and the generation of higher‑level information products.
  • Build scalable and automated processing workflows that can efficiently handle large volumes of satellite data across multiple missions and sensor types.
  • Support technical proposal preparation, feasibility studies and project execution by providing expertise on EO data processing solutions.
  • Continuously evaluate and introduce new processing methods and technologies to improve product quality, operational performance and processing efficiency.
  • Contribute to calibration, validation and quality assurance activities to ensure the accuracy and reliability of Earth Observation products.

You are passionate about Earth Observation and enjoy combining scientific insight with software development to create operational solutions.

You also bring:
  • A Master’s degree or PhD in Remote Sensing, Geomatics, Geoinformatics, Computer Science, Physics, Engineering or a related field.
  • A solid understanding of optical/SAR Earth Observation, remote sensing principles and satellite image processing from rawdata, Level0 to Level1 and Level 2.
  • Strong experience with developing image processing algorithms for satellite or airborne imagery.
  • Strong programming skills in Python, C++ and experience with scientific and geospatial libraries such as NumPy, Xarray, GDAL or Rasterio.
  • Good knowledge of geospatial data formats, coordinate reference systems and spatial data processing.
  • Experience with automated data processing workflows and scalable processing framework/environments is considered an asset.
  • Familiarity with calibration and validation methodologies for Earth Observation products is an advantage.
  • Strong analytical and problem‑solving skills, combined with the ability to work independently as well as in multidisciplinary project teams.
  • Excellent communication skills in English and the ability to explain technical concepts to colleagues and customers with different backgrounds.
  • a NATO security clearance is expected for this job and will be part of the onboarding process.
Offer
  • We operate in an activity‑based way, meaning your work activities guide where you work. Our headquarter is located in Mol, and we anticipate an average onsite presence of about 50%. We also support flexibility: parttime remote work or working from one of our satellite offices in Antwerp‑Berchem, Genk, Ghent, Leuven, Kortrijk or Ostend is possible.
  • A competitive salary with a range of benefits, including allowances, insurance, and a modular package of holidays.
  • Innovation is our asset, so it goes without saying that we give our employees the opportunity to take additional training courses and stay up‑to‑date in their field. You will always have the opportunity to broaden your knowledge and discover new technologies.
  • You will have the opportunity to be part of an organization with an international reputation, known for its cutting‑edge technological research and scientific consultancy.
  • With us, you will contribute directly to sustainable developments at a local, national and global level through your innovative applications. You provide answers to contemporary societal challenges.
  • Moreover, we highly value a good work‑life balance at VITO! This is achieved by adopting a flexible attitude depending on your specific needs.
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