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Insurance Data Processing Jobs in Minnesota (NOW HIRING)

Mortenson

Risk Management Coordinator

Minneapolis, MN · Hybrid

$43K - $59K/yr

Maintain accurate insurance data in RMIS and trackers to support reporting and visibility ... Support team operations by maintaining process documentation, templates, and training materials ...

Ryan Companies

Data Analyst

Minneapolis, MN

$85K - $100K/yr

Influence existing data collection processes by recommending improvements, workflow modifications ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

Osaic

Operations Processing Specialist

Oakdale, MN · Hybrid

$43K - $48K/yr

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Apply strong attention to detail to minimize errors and uphold data integrity across systems Client ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

Osaic

Operations Processing Specialist

Oakdale, MN · Hybrid

$43K - $48K/yr

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Apply strong attention to detail to minimize errors and uphold data integrity across systems

Luther Seminary

Controller

Saint Paul, MN · On-site

$130K - $140K/yr

Coordinate annual insurance applications, renewals, and coverage changes; compile exposure data ... Support performance management processes and employee engagement initiatives * Ensure HR policies ...

Old Republic

Senior Data Analyst

Minnetonka, MN

$100K - $115K/yr

The candidate will have an understating of the software development lifecycle process. * The ... Voluntary supplemental life insurance for employees, spouses and dependent children * Fertility and ...

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Insurance Data Processing information

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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 is the highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

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 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
Insurance Expiration Analyst

Insurance Expiration Analyst

HomeServices Insurance, Inc.

New Brighton, MN • On-site

$26.44 - $36.05/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Purpose of Job

Plays a critical role in safeguarding agency retention by proactively managing policy expirations and renewals. Monitors expiration reports, identifies policies at risk of non-renewal, and collaborates with account managers to ensure timely renewals. Works closely with client service teams to resolve premium payment issues and communicates with producers regarding first-year policies at risk of cancellation.

Job Duties and Responsibilities (Essential Job Functions)

Common job activities are listed below; actual position responsibilities may vary. Refer to your manager or human resources for specific duties and performance expectations.

Expiration Management & Renewal Facilitation (50-60%)

  • Monitor and analyze expiration reports to identify policies at risk of non-renewal.
  • Partner with account managers to prioritize and facilitate timely renewals.
  • Update Applied Epic to reflect accurate policy status upon expiration, renewal, or cancellation.

Policy Workflow Administration (10-20%)

  • Manage dedicated workflows to ensure all policy changes are documented accurately, including Broker of Record changes, cancellations (non-payment or other reasons), non-renewals, and reinstatements.

Premium Resolution & Risk Mitigation (10-20%)

  • Collaborate with client service team members to resolve non-payment issues directly with clients.
  • Communicate with producers regarding first-year policies at risk of cancellation to prevent lapses in coverage.

Internal & External Communication (10-20%)

  • Act as a liaison between brokers, agents, and internal teams to resolve deficiencies and manage reinstatements or cancellations.
  • Provide clear, timely updates to stakeholders regarding policy status and retention risks.

Reporting & Data Analysis (5-10%)

  • Work with the data services team to track and report agency retention metrics, including client, policy, and premium retention.
  • Identify trends and provide insights to improve renewal success rates.

Perform any additional responsibilities as requested or as needed to fulfill the purpose of the job. (0-5%)

Performance Expectations

  • Meet all performance and behavior expectations outlined in the company performance appraisal form or communicated by management.
  • Perform responsibilities as directed achieving desired results within expected time frames and with a high degree of quality and professionalism.
  • Establish and maintain positive and productive work relationships with all staff, customers and business partners.
  • Demonstrate the behavioral and technical competencies necessary to effectively complete job responsibilities. Take personal initiative for technical and professional development.
  • Follow the company HR Policy, the Code of Business Conduct and all subsidiary and department policies and procedures, including protecting confidential company information, attending work punctually and regularly, and following good safety practices in all activities.

Qualifications

Education:

  • Associate degree or equivalent work experience and knowledge; bachelor’s degree preferred.

Experience:

  • 2+ years’ successful personal lines insurance sales experience.

Knowledge and Skills:

  • Understanding of P&C insurance lines and applicable laws
  • Strong analytical mindset with a passion for numbers, reporting, and process improvement.
  • Excellent knowledge of Applied Epic required
  • Proficiency in Microsoft Office Suite and familiarity with data analysis tools.
  • Detail-oriented with strong time management and the ability to handle multiple priorities concurrently while meeting deadlines.
  • Exceptional verbal and written communication for interacting with brokers, agents, and internal team members.

Other (licenses, certifications, schedule flexibility/OT, travel, etc.):

  • Active P&C Insurance Agent License required

Wage:   $26.44 - $36.05; actual wage is based upon education and experience. 

Benefits:   Full suite of benefits including Medical, Health Savings Account, Dental, Vision, Life Insurance, Paid Vacation (PTO), 401(k) with employer match, Flexible Spending Account, and Employee Assistance Program (EAP)

Equal Opportunity Employer

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