Data Jobs in Minnetonka, MN

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18d ago

Principal Data Analyst and AI Liaison

UnitedHealthcare Minnetonka, MN 🇺🇸 Remote

Minnetonka, MN

18d ago

$113k - $193k/yr Full time Analyst Analytics Artificial Intelligence

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Job Description

What UnitedHealthcare offers: a comprehensive benefits package, incentive and recognition programs, equity stock purchase opportunities, and 401k contributions.

In this role you will bridge healthcare operations, large-scale data analytics, and applied AI to translate extensive healthcare data into actionable insights while upholding responsible AI practices aligned with clinical, regulatory, and business needs.

Responsibilities

Examine large healthcare data spanning clinical, claims, operational, financial, and population health domains to identify trends, inefficiencies, and opportunities for improvement.
Design dashboards, reports, and data models that advance clinical quality, patient outcomes, cost optimization, and operational efficiency.
Ensure data accuracy, integrity, normalization, and governance across systems.
Collaborate with clinical and operational leaders to translate business questions into analytic approaches.
Serve as the primary bridge between business and clinical stakeholders and AI/ML teams or vendors.
Assess, pilot, and support deployment of AI tools including predictive analytics, NLP, computer vision, automation, and large language models.
Translate healthcare workflows and requirements into AI ready use cases.
Validate AI outputs for clinical relevance, bias, explainability, and regulatory compliance.
Support responsible AI practices through documentation, monitoring, and human in the loop controls.
Identify target patient and provider populations and moments of influence.
Define outcomes and success metrics and set targets with clinical program leaders.
Continuously monitor clinical programs and pilots, refining targets as needed.
Conduct retrospective program evaluations using advanced econometric techniques.
Create reports and data visualizations to share insights with stakeholders.
Document methodologies for opportunity analysis and impact evaluation to enable rapid scaling across services, care paths, diagnosis groups, and lines of business such as Medicare Advantage, commercial, and Medicaid.
Support the use of data from EHR, claims, device data, and third party sources.

Requirements

Minimum five years of experience in healthcare data analysis, analytics, or health tech roles.
At least five years of SQL programming experience.
Three or more years of SAS programming experience.
Demonstrated expertise working with large scale claims and healthcare datasets.
Solid understanding of health plan economics and performance levers.

Technologies

SQL
SAS
NLP
Computer vision
Large language models

Preferred qualifications

Advanced experience querying and integrating large disparate data sources using SAS.
Experience supporting or implementing AI/ML solutions in healthcare.
Translational mindset capable of turning data and AI into real world outcomes.
Experience with population health, value based care, or clinical quality analytics.
Familiarity with healthcare regulations such as HIPAA, AI governance, and data privacy.
Ability to balance innovation with clinical risk and regulatory constraints.
Ability to collaborate across clinical, technical, and business teams.
Strong analytical thinking and problem solving abilities.
Excellent communication and stakeholder management skills.

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