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Insurance Data Processing Jobs in Minnesota (NOW HIRING)

Jefferson Capital Systems

UK Data Analyst

Sartell, MN · On-site

$45K - $55K/yr

Interest in learning UK business operations, placement and recall processes, skip tracing data, and portfolio performance analytics. BENEFITS * 401(k) * 401(k) matching * Dental insurance

Jefferson Capital

UK Data Analyst

Sartell, MN · On-site

Interest in learning UK business operations, placement and recall processes, skip tracing data, and portfolio performance analytics. BENEFITS * 401(k) * 401(k) matching * Dental insurance

Nahan

Data Center 1

Saint Cloud, MN · On-site

$25 - $32/hr

Data Processing Reports To: Data Processing Department Leader FLSA Status: Non-exempt Shift: Days ... Vision * 100% Employer Paid Life Insurance * 100% Employer Paid Short Term & Long-Term Disability ...

Target

Data Engineer - Finance AI Solutions

Minneapolis, MN · On-site +1

$75K - $135K/yr

... insurance and more, to help you and your family take care of your whole selves.Other benefits for ... Build and enhance batch and real-time data processing solutions to support analytical and ...

Target

Lead Data Engineer - Finance Tech

Minneapolis, MN · On-site

$132K - $238K/yr

... insurance and more, to help you and your family take care of your whole selves.Other benefits for ... Design and implement real-time and batch data processing solutions, ensuring data is efficiently ...

Nahan

Data Center 1

Saint Cloud, MN · On-site

$25 - $32/hr

Data Processing Reports To: Data Processing Department Leader FLSA Status: Non-exempt Shift: Days ... Vision * 100% Employer Paid Life Insurance * 100% Employer Paid Short Term & Long-Term Disability ...

Avalore, LLC

Data Engineer

Virginia, MN · On-site

$97K - $181K/yr

This person will implement data processing frameworks and technologies, design and optimize data ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

UnitedHealth Group

Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

You will bring strong experience in data engineering, distributed processing, cloud platforms, and ... Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability ...

ADDSOURCE

Healthcare Data Analyst

Eden Prairie, MN · On-site

... insurance adjudication processes, and clinical data management. 2) Developing and maintaining healthcare data warehouses and master datasets using the following: SQL Server, relational database ...

New

UnitedHealth Group

Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

You will bring strong experience in data engineering, distributed processing, cloud platforms, and ... Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability ...

UnitedHealth Group

Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

You will bring strong experience in data engineering, distributed processing, cloud platforms, and ... Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability ...

Allegiant

Data Engineer

Minneapolis, MN · On-site

$87K - $124K/yr

Design, implement, and maintain scalable ETL processes to ensure efficient data flow and ... Legal, Identity and Pet Insurance * 401K with an employer match * Employee Stock Purchase Plan

Allegiant

Data Engineer

Minneapolis, MN · Hybrid

$87K - $124K/yr

Design, implement, and maintain scalable ETL processes to ensure efficient data flow and ... Profit Sharing Medical/Dental/Vision/Life/ Disability Insurance Medical Travel Reimbursement Legal ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Minnesota

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 Minnesota?

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

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

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

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

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

Insurance Data Processing jobs near you

UK Data Analyst

Sartell, MN • On-site

Jefferson Capital Systems
Finance and Insurance • 201 - 500 employees
Learn more about Jefferson Capital Systemsexternal

$45K - $55K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

JOB SUMMARY
The Data Analyst is responsible for supporting UK business operations through reporting, analytics, data processing, testing, and data quality oversight. This role supports UK inventory management through placement and recall processes, skip tracing strategies, recurring operational reporting, process validation, and analytical projects designed to improve business performance and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive operational efficiency and business outcomes.
ROLES & RESPONSIBILITIES
  • Work with UK business leaders, operations teams, and internal stakeholders to identify opportunities for process improvement and data-driven decision making.
  • Support recurring UK data processing activities, including file creation, placement and recall processing, validation, quality control reviews, report generation, and distribution.
  • Support inventory management activities including account placements, recalls, inventory segmentation, routing strategies, and related performance analysis.
  • Develop, maintain, and enhance performance reporting used to monitor UK business metrics, portfolio movement, agency activity, skip tracing results, vendor performance, and operational trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and opportunities for improved inventory management, placement strategy, recall timing, and skip tracing effectiveness.
  • Support analytical projects by gathering requirements, preparing data, conducting analysis, and clearly communicating findings to business partners.
  • Design, execute, and evaluate tests related to inventory strategies, skip tracing processes, operational workflows, data sources, reporting logic, and business initiatives.
  • Define, document, and improve business processes that enhance the value, accuracy, and usability of internal and external UK data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, controls, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports, files, and datasets.
  • Create and maintain process documentation, data definitions, validation procedures, file layouts, testing results, and reporting methodologies.
  • Support skip tracing analysis by evaluating data availability, match results, vendor output, and downstream business impact.
  • Provide analytical support for placement and recall decisioning, including inventory segmentation, performance tracking, and operational review.
REQUIREMENTS
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
  • Proficiency in Excel; experience with SAS, SQL, relational databases, or other analytical tools is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Ability to work with recurring processes, transactional data, operational reporting, and data validation routines.
  • Experience analyzing large operational datasets and translating findings into actionable business recommendations preferred.
  • Experience with collections, financial services, contact center operations, or debt purchasing environments is a plus.
  • Self-motivated and able to work independently while also contributing effectively within a team environment.
  • Interest in learning UK business operations, placement and recall processes, skip tracing data, and portfolio performance analytics.
BENEFITS
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Tuition Reimbursement
  • Vision insurance
  • Pet insurance
  • Employee discount program

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