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Provider Data Remote Jobs in Minnesota (NOW HIRING)

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in ... Unable to provide sponsorship for this position. #LI-JS1 #LI-Remote Benefits Overview 401(k) Plan ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Establish and maintain relationships with key technology providers, vendors, and industry ...

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Provider Data Remote information

What is the difference between Provider Data Remote vs Provider Data Specialist?

AspectProvider Data RemoteProvider Data Specialist
CredentialsTypically requires healthcare data management certifications or relevant experienceOften requires similar certifications, such as medical coding or data management credentials
Work EnvironmentRemote, often independent or team-based in healthcare organizationsPrimarily office or healthcare facility-based, but can include remote options
Industry UsageCommonly used in healthcare, insurance, and medical data management

Provider Data Remote and Provider Data Specialist roles share similar credentials and industry usage, focusing on healthcare data management. The main difference lies in the work setting, with Provider Data Remote working primarily remotely, offering flexibility, while Provider Data Specialist roles may be more office-based. Both roles are essential for maintaining accurate provider information in healthcare systems.

What does a Provider Data Remote do?

A Provider Data Remote is responsible for managing and maintaining healthcare provider information, such as credentials, contact details, and contract status, within a healthcare organization's database. This role is typically performed remotely and involves verifying data accuracy, updating records, and ensuring compliance with regulatory requirements. Provider Data Remotes collaborate with providers, insurance companies, and internal teams to resolve discrepancies and support network operations. Strong attention to detail, data management skills, and familiarity with healthcare terminology are essential for success in this position.

What are some common challenges faced by Provider Data Remote professionals, and how can they be managed?

Provider Data Remote professionals often encounter challenges such as managing large volumes of complex provider information, ensuring data accuracy, and keeping up with frequent updates from multiple sources. Working remotely can also mean collaborating with cross-functional teams in different locations, which requires strong communication and organizational skills. To manage these challenges, it's helpful to use standardized data management tools, establish clear communication protocols with team members, and stay updated on industry regulations related to provider data.

What are the key skills and qualifications needed to thrive as a Provider Data Remote specialist, and why are they important?

To thrive as a Provider Data Remote specialist, you need strong attention to detail, data entry proficiency, knowledge of healthcare terminology, and typically an associate's or bachelor's degree in a related field. Familiarity with provider data management systems, Microsoft Excel, and claims processing software is commonly required, along with experience using databases like Facets or CAQH. Excellent organizational skills, problem-solving abilities, and clear communication help you stand out in this role. These skills ensure the accuracy and integrity of provider data, supporting efficient healthcare operations and compliance.
What are the most commonly searched types of Provider Data jobs in Minnesota? The most popular types of Provider Data jobs in Minnesota are:
What job categories do people searching Provider Data Remote jobs in Minnesota look for? The top searched job categories for Provider Data Remote jobs in Minnesota are:
What cities in Minnesota are hiring for Provider Data Remote jobs? Cities in Minnesota with the most Provider Data Remote job openings:
Sr. Principal Data Scientist - Remote

Sr. Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Posted 9 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together.

The Data Scientist is a senior-level individual contributor responsible for developing advanced analytics, predictive models, and data-driven insights that directly influence strategic business decisions. This role partners cross-functionally with clinical, product, operations, and client-facing teams to solve complex problems, optimize outcomes, and drive measurable value.

The position requires deep expertise in statistical modeling, machine learning, and data engineering principles, along with the ability to translate complex analytics into actionable business strategies.

You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities: 
Advanced Analytics & Modeling:

  • Design, develop, and deploy predictive and prescriptive models to support business and clinical initiatives
  • Apply machine learning, statistical analysis, and optimization techniques to large, complex datasets
  • Build and validate models for use cases such as risk stratification, utilization forecasting, intervention targeting, and cost containment
  • Ensure model performance, scalability, and ongoing monitoring
  • Guide analytics teams in applying machine learning, statistical modeling, and simulation techniques (e.g., regression, classification, clustering, ensemble methods) to large, multi-source datasets
  • Apply best practices in causal inference, AI/ML, quasi-experimental methods, and forecasting to support strategy decisions and benefit realization
  • Create and/or complete needed documentation to define project parameters and specifications, process flow and other business documentation including, but not limited to: business/functional/report/analytics requirements, workflows, job aids, and reference materials
  • Apply analytical, mathematical and statistical techniques to investigating and interpreting data results
  • Works with less structured, more complex issues, and comfortable with ambiguity

Business & Strategic Impact:

  • Translate ambiguous business problems into structured analytical frameworks
  • Deliver actionable insights that inform product development, population health strategies, and client-specific solutions
  • Support cost-of-care initiatives, cross product benefits, and engagement strategies through analytics

Stakeholder Collaboration:

  • Partner with operations, product managers, consultants, and reporting teams to align analytics with business needs
  • Communicate findings clearly to both technical and non-technical stakeholders, including executive leadership
  • Serve as a thought partner in client discussions, RFPs, and strategic initiatives

Data Engineering & Governance:

  • Partner with data engineering teams to define data requirements, pipelines, and data quality standards
  • Ensure reproducibility, traceability, and governance of analytical outputs
  • Work with claims, clinical, and engagement data sources to enable integrated analytics

Innovation & Continuous Improvement:

  • Identify opportunities to leverage emerging technologies (AI/ML, generative AI, advanced analytics platforms)
  • Drive enhancements in modeling approaches, tools, and analytical methodologies
  • Contribute to the development of reusable analytics assets and frameworks

Scope & Impact:

  • Works on high-priority, enterprise-level initiatives
  • Influences product strategy, clinical outcomes, and client retention
  • Supports revenue growth, cost savings, and performance guarantees
  • Acts as a technical leader and mentor to junior analysts/data scientists (informal leadership)

Core Competencies:

  • Analytical Rigor: Ability to solve complex problems with structured, data-driven approaches
  • Business Acumen: Strong understanding of how analytics drives financial and operational outcomes
  • Communication: Ability to simplify and present complex concepts clearly and effectively
  • Collaboration: Works effectively across cross-functional teams
  • Ownership & Accountability: Drives work from concept to execution with minimal oversight
  • Innovation Mindset: Continuously seeks opportunities to improve processes and outcome

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 

Required Qualifications:

  • Bachelor's degree in MIS, Statistics, Mathematics, Computer Science
  • 6 years of experience performing complex data analysis, report development, querying high volume data, and interpreting results
  • 6 years proficiency in SQL, and data visualization tools (e.g., Tableau, Power BI)
  • 6 years experience working with large, complex datasets (healthcare data preferred: claims, clinical, or population health datasets)
  • 2 years of experience in creating relevant databases (tables/fields/libraries) needed to source appropriate data
  • 2 years of experience building and executing data pulls using SQL and / or other BI reporting tools
  • 1 years of experience with documenting processes and practices, often in accepted project methodology artifacts

Preferred Qualifications:

  • Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field 
  • 4 years exposure to cloud-based data platforms (Azure, AWS, GCP)
  • 3 years experience with real-time or near-time analytics
  • 2 years experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • 2 years experience in Python
  • Healthcare industry experience, particularly in population health, care management, product value sales story development and/or payer environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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