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Remote Insurance Data Analytics Jobs in Saint Paul, MN

Data Analyst

Minneapolis, MN · On-site +1

$32.92 - $45.12/hr

Hybrid remote position Supports a variety of data analysis, project management, and quality ... Life Insurance * Short-term/Long-term Disability * Voluntary Benefits (vision, legal, critical ...

Remote Required Skills & Experience: * 3+ years of experience as a Data Analyst at a health insurance company * Payer domain expertise in claims data- Understands how the data is used on the backend ...

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

... insurance, a 401(k) retirement plan with company matching, paid time off, paid parental leave ... This position is remote in Minnesota and will need to be within a commutable distance to ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

Data Analyst III

Minneapolis, MN · On-site +1

$52K - $101K/yr

Remote roles will also have the opportunity to come together in our offices for moments that matter ... In addition, Huntington provides a variety of benefits to colleagues, including health insurance ...

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Remote Insurance Data Analytics information

See Saint Paul, MN salary details

$24

$55

$95

How much do remote insurance data analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote insurance data analytics in Saint Paul, MN is $55.37, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $62.74 per hour, depending on experience, location, and employer.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What are popular job titles related to Remote Insurance Data Analytics jobs in Saint Paul, MN?

For Remote Insurance Data Analytics jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Remote Insurance Data Analytics jobs in Saint Paul, MN look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Saint Paul, MN are:

What cities near Saint Paul, MN are hiring for Remote Insurance Data Analytics jobs?

Cities near Saint Paul, MN with the most Remote Insurance Data Analytics job openings:

Data Analyst

Minneapolis, MN • On-site, Remote


Allina Health
Health Care and Social Assistance • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 278 frontline employees who took The Breakroom Quiz

129th of 893 rated healthcare providers

People enjoy working here

Good employer

Recommended by students


$32.92 - $45.12/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Location Address:
2925 Chicago AveLoading DockMinneapolis, MN 55407-1321
Date Posted:
August 21, 2026
Department:
74000670 Clinical Engineering Services Management
Shift:
Day (United States of America)
Shift Length:
8 hour shift
Hours Per Week:
40
Union Contract:
Non-Union-NCT
Weekend Rotation:
None
Job Summary:
Allina Health is a not-for-profit health system that cares for individuals, families and communities throughout Minnesota and western Wisconsin. If you value putting patients first, consider a career at Allina Health. Our mission is to provide exceptional care as we prevent illness, restore health and provide comfort to all who entrust us with their care. This includes you and your loved ones. We are committed to providing whole person care, investing in your well-being, and enriching your career.
Key Position Details:
  • 1.0 FTE (80 hours per two-week pay period)
  • 8-hour day shifts
  • No weekends
  • Hybrid remote position

Job Description:
Supports a variety of data analysis, project management, and quality analysis activities to improve the clinical quality, measurement strategy, and operational efficiency. Consults with administrative leaders, physician leaders, and staff to provide direction regarding quality, safety, performance improvement, and regulatory activities.
Principle Responsibilities
  • Project Management
    • Serves as the subject matter expert for data analytics and quality measurement, guiding teams on best practices and ensuring alignment with organizational standards.
    • Convenes and coordinates regular research and measurement stakeholder meetings.
    • Catalogs research and measurement outputs.
    • Provides support for the maintenance of the internal and external research websites and multi-media strategy for dissemination of research and quality analysis results.
    • Coordinates ad hoc scientific or data-related projects.
    • Participates in recurring quality, clinical, and operations meetings.
    • Provides technical and educational support to users of data analytics tools, documentation and processes.
  • Quality Analysis
    • Collaborates in developing appropriate analytic strategies for quality analysis and assists in identifying data issues relevant to interpretation this may include patient chart reviews to validate measure inclusion/exclusion criteria and ensure data accuracy.
    • Serves as a consultant for interpretation of quality analysis and provides recommendations on approaches to measurement.
    • Participates in program evaluation for the business unit.
  • Data Analysis
    • Serves as a knowledgeable resource in key organizational initiatives and applications, ensuring teams maximize the value of these tools (e.g. Vizient, USWNR, Riskonnect, PSO, Epic).
    • Utilizes statistical software to extract and prep data and conduct analysis.
    • Directs and contributes to data abstraction and collection and summarizes and interprets.
    • Conducts literature reviews to identify gaps in available evidence and prepares interpretive summaries.
    • Contributes to development of study design, methods, and data collection approaches as well as grant applications.
  • Other duties as assigned.

Required Qualifications
  • Bachelor's degree in information technology, health informatics, public health, epidemiology, program evaluation, or related healthcare or scientific discipline
  • 2 to 5 years professional or clinical experience
  • Experience with quantitative data analysis, familiarity with data collection and electronic health record tools

Preferred Qualifications
  • Master's degree in information technology, health informatics, public health, epidemiology, program evaluation, or related healthcare or scientific discipline
  • Well-developed medical writing skills, experience serving as lead author of peer-reviewed publications

Physical Demands
  • Sedentary:
  • Lifting weight up to 10 lbs. occasionally, negligible weight frequently

Pay Range
Pay Range: $32.92 to $45.12 per hour
The pay described reflects the base hiring pay range. Your starting rate would depend on a variety of factors including, but not limited to, your experience, education, and the union agreement (if applicable). Shift, weekend and/or other differentials may be available to increase your pay rate for certain shifts or work.
Benefit Summary
Allina Health believes the best way to provide safe and compassionate care for our patients is by nurturing the passion of those who care for them. That's why we devote extraordinary resources to help you grow and thrive - not only as a professional but also as a whole person. When you join our team, you have access to a wealth of valuable employee benefits that support the total well-being - mind, body, spirit and community - of you and your family members.
Allina Health is all in on your well-being. Because well-being means something different to everyone, our award-winning program provides you with the resources you need to help you navigate your personal journey. This includes well-being dollars, dedicated well-being navigators, and many programs, activities, articles, videos, personal coaching and tools to support you on your journey.
We are focused on creating an inclusive workplace so everyone can see themselves as part of our care team. Our care teams are as diverse as the communities we serve and proud to be contributing to the mission of a leading health care organization. Our pioneering approach to well-being helps every member of our care team feel a deep sense of connection and joy in their work.
Benefits include:
  • Medical/Dental
  • PTO/Time Away
  • Retirement Savings Plans
  • Life Insurance
  • Short-term/Long-term Disability
  • Voluntary Benefits (vision, legal, critical illness)
  • Tuition Reimbursement or Continuing Medical Education as applicable
  • Student Loan Support Benefits to navigate the Federal Public Service Loan Forgiveness Program
  • Allina Health is a 501(c)(3) eligible employer

*Benefit eligibility/offerings are determined by FTE and if you are represented by a union.


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