1

Insurance Data Processing Jobs in Minnesota (NOW HIRING)

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 ...

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

Build automated processes to Extract, Transform and Load data from various sources into a ... Life / Disability Insurance * 401(k) with company matching * Generous Vacation / Paid Time Off ...

This role is critical in ensuring our data processes run smoothly and client deliverables are met ... A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare ...

Data Analyst

Minneapolis, MN · On-site

$75K - $110K/yr

Data Analyst Vertical Insure Minneapolis, Minnesota, United States About this position About ... Identify opportunities to automate reporting and improve processes. Who You Are * Bachelor's degree ...

Data Analyst

Minneapolis, MN · On-site

$75K - $110K/yr

About Vertical Insure Location: Minneapolis, MN (Hybrid - in office Tuesdays and Thursdays ... Identify opportunities to automate reporting and improve processes. Who You Are * Bachelor's degree ...

Data Analyst

Minneapolis, MN · On-site

$75K - $110K/yr

We offer customized insurance options tailored to each business and its customers, adding value and ... Identify opportunities to automate reporting and improve processes. Who You Are * Bachelor's degree ...

Showing results 41-60

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 cities in Minnesota are hiring for Insurance Data Processing jobs?

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

Sr. technology Architect (Financial Crime & Risk Data Platforms)

Hopkins, MN • On-site

U.S. Bank
Banking and Credit Intermediation • 10K+ employees

$68.25 - $91.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
Job Description
Responsibilities
  • Lead the architecture, design, and implementation of enterprise-scale Financial Crime, Risk, Compliance, and Regulatory data platforms.
  • Drive modernization initiatives by migrating legacy data ecosystems to cloud-native and Databricks-based architectures.
  • Develop and maintain conceptual, logical, and physical data models that support data quality, scalability, governance, and long-term business objectives.
  • Partner with business leaders, product owners, engineering teams, and risk stakeholders to translate complex requirements into strategic technology solutions.
  • Define enterprise architecture standards, reference architectures, and best practices for data ingestion, transformation, storage, lineage, governance, and consumption.
  • Evaluate emerging technologies and recommend innovative solutions that improve performance, resiliency, operational efficiency, and regulatory compliance.
  • Collaborate with Data Engineering, Analytics, Security, and Risk teams to build secure, highly available, and resilient data products and services.
  • Mentor architects, engineers, and technical teams while fostering a culture of collaboration, innovation, continuous learning, and technical excellence.

Basic Qualifications
-Bachelor's degree or equivalent work experience
-At least 10 years experience with the concepts, philosophies and tools behind the design of applications, information and underlying information technologies.
-At least 10 years experience with developing and implementing applications.
Skills & Qualifications
  • Enterprise Data Architecture expertise with large-scale data platforms supporting Financial Crime, AML, Fraud, Risk, Compliance, or Regulatory functions.
  • Strong experience with Databricks, Apache Spark, Delta Lake, and modern Lakehouse Architecture patterns.
  • Deep knowledge of Cloud Platforms including Azure, AWS, or hybrid cloud environments.
  • Expertise in Data Modeling, including conceptual, logical, and physical data design for complex enterprise ecosystems.
  • Strong understanding of Data Governance, Metadata Management, Data Lineage, Data Quality, and regulatory compliance requirements.
  • Strong expertise in modern Medallion Architecture, including Bronze, Silver, and Gold data layer design patterns, is a valuable asset.
  • Proficiency with SQL, Python, distributed data processing, and modern data integration frameworks.
  • Experience designing and implementing secure architectures using IAM, encryption, access controls, audit logging, and enterprise security frameworks.
  • Exceptional leadership, stakeholder management, communication, mentoring, and cross-functional collaboration skills with the ability to influence enterprise-level technology decisions.

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


U.S. Bank logo

About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media