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Insurance Data Processing Jobs in Minnesota (NOW HIRING)

twoharbors

Data Engineer

Minneapolis, MN

$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 ...

CSAA

$85K - $112K/yr

Superior research, statistical, analytical, data processing and mathematical skills with ability to ... Knowledge of insurance, accounting and rate-making concepts. * Strong ability to independently ...

Ultimate LLC

Patient Responsibility Coordinator

Roseville, MN · Hybrid

$18.25 - $24/hr

... processes. This is not a collections role-you'll serve as a trusted resource, helping patients and ... Analyze and interpret insurance data, eligibility, and benefit structures * Maintain detailed and ...

Mortenson

Data Analyst - Finance

Minneapolis, MN

$72K - $109K/yr

... data processes that enable timely, accurate, business-ready insights. This role partners with ... Employer paid Life, AD&D, and disability insurance * No-Cost mental health tool and concierge with ...

Turck Inc

Master Data Administrator

Minneapolis, MN · On-site

$50K - $58K/yr

Create, process, and track Engineering Change Orders (ECOs) within the Turck Tools system ... Competitive medical and dental insurance with above-market employer contributions * Life and ...

IDR, Inc.

MCP Software Engineer

Saint Paul, MN · On-site

$65 - $68/hr

Proven experience creating data pipelines using ETL (Extract, Transform, Load) or ELT processes ... Medical, Dental, Vision, and Life Insurance * ClearlyRated's Best of Staffing ® Client and Talent ...

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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
Manager, Data Governance

Manager, Data Governance

Quanex Building Products

Owatonna, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Quanex rating

6.5

Company rating: 6.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

453rd of 518 rated manufacturers

Job description

Quanex is looking for a Manager, Data Governance to join our team located in Akron, OH, Owatonna, MN or Rice Lake, WI.

Will be responsible for establishing, leading, and sustaining enterprise data governance practices to ensure data quality, integrity, availability, and compliance across the organization. This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations stakeholders to define standards, ownership, and processes that enable trusted data for decision-making and operational execution. The role has strong accountability for governance of ERP data, engineering change processes, and related controls.

We Offer You!

  • Competitive Salary
  • Bonus Potential
  • 401K with 5% company match, yours to keep after 2 years
  • 15% immediate return if you participate in the company’s ESPP
  • Medical, Dental & Vision Plans
  • Employer paid disability plans and life insurance
  • Paid Time Off & Holidays 
  • Flexible Work Schedule
  • Tuition support for degree and continuous education
  • Employee Resource Groups focused on employee empowerment

What’s attractive about the Manager, Data Governance?

  •  Fast paced environment
  •  Supportive and collaborative culture
  •  Variation of job tasks
  •  The company LIVES its values

What Success Looks Like:

  • Govern master and reference data within ERP platforms, including SAP and Oracle
  • Define and maintain the enterprise data governance framework, including policies, standards, and operating procedures
  • Establish data ownership, stewardship, and accountability models across business and engineering domains
  • Govern engineering-related data domains such as product, BOM, routings, and specifications across systems
  • Oversee and support Engineering Change Request (ECR) and Engineering Change Order (ECO) data impacts, ensuring accuracy, traceability, and SOX compliance
  • Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation
  • Partner with Engineering and Manufacturing teams to align data structures with business processes and system needs
  • Exercises independent judgment in defining governance standards, resolving data quality issues, and recommending system or process changes impacting enterprise data
  • Collaborate with IT on data architecture, integrations, access controls, and system enhancements related to governed data
  • Ensure data governance practices align with data security, privacy, and access control policies in partnership with IT and Compliance
  • Provide governance oversight for engineering software licensing data, including data accuracy, entitlement tracking, and audit support
  • Support compliance, audit, and risk management requirements related to data integrity and system controls

Your Credentials:

  • Bachelor’s degree in Engineering, Information Systems, Data Management, or a related field
  • 7+ years of experience in data management, master data, or data governance roles
  • Hands-on experience with ERP systems, specifically SAP and/or Oracle
  • Experience supporting engineering or manufacturing data processes, including ECR/ECO workflows
  • Working knowledge of print controls and document control concepts
  • Strong understanding of manufacturing, engineering, and operational data flows
  • Proven ability to influence cross-functional stakeholders without direct authority

The salary range for this position is $125K- $160K w/ bonus potential.

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.

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