1

Data Science Insurance Jobs in Minnesota (NOW HIRING)

... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Qualifications Bachelor's degree required in computer science, management information systems, or ... Experience in data modeling and design within the health insurance or health care industry is ...

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Bachelor's degree in data analytics, data science or a business-related field of study. * 3-5 years ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

... proof of insurance, and pass a driving record check. * Must be flexible and available to work ... Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health ...

Showing results 41-60

Data Science Insurance information

See Minnesota salary details

$22.3K

$105.3K

$198.7K

How much do data science insurance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science insurance in Minnesota is $105,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,524.00 and $149,629.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

How is data science used in the insurance industry?

Data science in insurance involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve customer segmentation. Insurance data scientists use statistical models, machine learning algorithms, and tools like Python or R to optimize decision-making and enhance underwriting processes.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are the most commonly searched types of Data Science Insurance jobs in Minnesota? The most popular types of Data Science Insurance jobs in Minnesota are:
Infographic showing various Data Science Insurance job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $105,330 per year, or $50.6 per hour.

Value Based Care Data Analyst

HealthPartners

Bloomington, MN

Other

Medical, Retirement

Re-posted 5 days ago


HealthPartners rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

232nd of 887 rated healthcare providers


Job description

HealthPartners is hiring a Value Based Care Data Analyst. We are currently filling multiple positions within our growing Value Based Care analytics team, offering opportunities to make a meaningful impact on improving health outcomes and affordability. The Value Based Care Data Analyst leverages data to improve patient and member experiences, enhance health outcomes, and help reduce the overall cost of care.

As members of collaborative Agile teams, Value Based Care Data Analysts partner closely with data engineers, developers, data scientists, and business stakeholders to deliver impactful analytics solutions. They are responsible for analyzing and validating data, developing meaningful visualizations, and translating complex information into clear, actionable recommendations that support value-based care initiatives.

These individuals develop a deep understanding of their business domains and the data that drives them, serving as trusted partners and consultants across the organization. Working alongside scrum teams, they contribute to the design and delivery of scalable data products and analytics solutions that empower informed decision-making and create measurable value for members, patients, and care teams.

HealthPartners is hiring for multiple Value-Based Care Data Analyst opportunities. While all roles are focused on improving healthcare quality, outcomes, and affordability through data-driven insights, each position offers a unique area of focus and the opportunity to make a meaningful impact across our organization. Explore the specific focus areas below.

Value-Based Care:

The Value-Based Care team partners with the Health Plan Finance Product Team, Provider Relations, Diagnosis Accuracy Team, Quality, and Purchaser Solutions Team to deliver measurement, analytics, and reporting that support provider risk arrangements and incentive programs. By providing trusted actionable insights into quality, cost, and performance, the team helps drive better outcomes, greater affordability, and improved care for our members and patients.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of ten analysts, consultants, and engineers.

Quality Measurement and Analytics:

The Value-Based Care Data Analyst helps HealthPartners use data to improve the quality of care our members receive and ensure we meet important healthcare quality standards. This role analyzes complex healthcare data and turns it into meaningful insights that help improve member outcomes, support providers, and guide key business decisions. The team also works to bring together data from multiple sources and modernize how healthcare information is managed and reported.

The work of this role directly influences healthcare quality, the member experience, regulatory performance, and organizational growth. By helping HealthPartners measure and improve performance, the Value-Based Care Data Analyst plays an important part in delivering high-quality, affordable care to the communities we serve.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of fourteen analysts, consultants, engineers, and specialists.

Required Qualifications:

  • Bachelor's degree in economics, mathematics, business, computer science, data science, social science, operations research, statistics, or a related quantitative field. Equivalent combinations of education and experience will also be considered. Candidates with experience spanning multiple disciplines are strongly encouraged to apply.
  • Six (6) years of experience applying technical and analytical skills to extract, integrate, analyze, and interpret complex data from multiple sources, translating data into meaningful insights that support business decision-making.
  • Demonstrated experience developing dashboards, visualizations, and actionable insights using Microsoft Power BI, with experience in Tableau or other data visualization tools also valued.
  • Demonstrated ability to tell stories using data.  
  • Solid working experience with SQL and relational database design.
  • Programming skills using Python, R, SAS, etc. ("or similar").
  • Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
  • Demonstrated experience presenting findings and actionable recommendations.
  • Must be motivated, self-driven, curious, and creative.
  • Ability to communicate and demonstrate an ability to work with development teams, end users, and business partners.
  • Demonstrated ability to support and complement the work of a diverse development and / or operations team.

Preferred Qualifications:

  • Knowledge of health insurance operations including billing, payment, contracting, regulations, provider networks is strongly preferred.
  • Demonstrated use of advanced statistical techniques (risk scoring, predictive modeling))
  • Exposure to agile/scrum (including tools like JIRA)
  • Experience using Azure Data Lake, Databricks, DevOps, Power Automate
  • Experience with HEDIS and STARS quality measurement

Hours/Location:

  • M-F; core business hours
  • This is a primarily remote position with occasional onsite presence required for meetings or workgroup sessions. 

Compensation Range:

  • These positions are available at an intermediate, senior, or principal level, depending on qualifications.
    • Intermediate Analyst: $36.37 - $54.55 hourly
    • Senior Analyst: $44.72 - $67.08 hourly
    • Principal Analyst: $50.32 - $75.48 hourly
      • Compensation is based on the level and requirements of the role. Pay within our ranges may also be determined by education, experience, knowledge, skills, location, and abilities as well as internal equity. Hired candidates may be eligible to receive additional compensation based on role (e.g., shift differential, bonus, sales incentive, productivity pay, etc.).

Responsibilities:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Partners with domain experts, business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal.
  • Works with business partners to understand and create their "user stories;" they support opportunities to leverage data analytics in service of customer or business value.
  • Creates, deploys, monitors, and maintains highly interactive data visualizations.
  • Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment, and indexing, as well as domain-specific measurements (example: readmission rates)
  • Works with their teams to ensure data accessibility, accuracy, and quality, and may function as data stewards by contributing to management of central data stores and metadata.
  • May provide consultative, data-driven support on product and business strategy development.
  • Sets up and executes test cases to validate that analytic and software solutions meet the business acceptance criteria.
  • Communicates solution tradeoffs to business partners to frame and influence project decisions.
  • Leverages internal and external sources to validate data accuracy and benchmark results.
  • Promote and champion HealthPartners' security and de-identification standards, while they manage sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


What HealthPartners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom