Senior Data Analyst - MN or PA Markets - Remote
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-07-25
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Senior Data Analyst
At United Healthcare, 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.
This Senior Data Analyst role is a business-facing data analyst role responsible for developing and delivering complex reporting, analytics, and business insights that guide decisions for local and national Medicare Advantage supplemental benefit programs and vendor partnerships. This role works closely with leadership, internal stakeholders, external vendors, and other cross-functional business partners to analyze data, identify trends, and provide recommendations that support operational performance and strategic decision-making.
Success in this role requires strong analytical and problem-solving skills, deep knowledge of Medicare Advantage eligibility and benefit data, and the ability to translate complex information into actionable business insights.
The position collaborates with other (MA) Product Capabilities teams, technology partners, vendors, as well as leadership to ensure data quality, regulatory compliance, and the delivery of reliable reporting solutions that align with business objectives.
If you are located within a commutable distance of MN or PA markets, you will have the flexibility to work remotely as you take on some tough challenges.
Primary Responsibilities:- Analyze large, complex datasets to identify trends, patterns, risks, opportunities, and actionable insights that support business objectives and client outcomes
- Develop deep subject matter expertise in Medicare Advantage product, eligibility, supplemental benefit, and utilization data to support business partners, vendors, and leadership with data-driven decision making
- Design, develop, and maintain scalable reporting solutions, dashboards, analytical models, and data products using SQL, Snowflake, Databricks, and other modern data technologies
- Acquire, integrate, transform, and validate data from diverse internal and external sources to ensure the accuracy, consistency, and timeliness of reporting and analytics deliverables
- Develop, optimize, and maintain ETL/ELT processes and data pipelines across SQLServer, Snowflake, Databricks, and related cloud-based data platforms
- Partner with business stakeholders, account management teams, vendors, and technical resources to gather requirements, define solutions, and deliver high-value analytics capabilities
- Translate complex data and analytical findings into clear, concise, and actionable recommendations through reports, presentations, dashboards, and visualizations tailored to both technical and non-technical audiences
- Serve as a trusted advisor to clients and leadership by providing data-driven insights, performance analysis, forecasting, and strategic recommendations that drive business decision-making
- Lead or contribute to multiple concurrent initiatives by managing priorities, timelines, risks, dependencies, and stakeholder communications
- Identify opportunities to improve processes, automate manual activities, and implement best practices that enhance operational efficiency, scalability, and data quality
- Create and maintain comprehensive technical documentation, data dictionaries, process flows, specifications, and operational procedures that facilitates knowledge sharing and long-term solution sustainability
- Ensure data solutions align with organizational standards for performance, reliability, security, scalability, compliance, and data governance
- Perform adhoc analyses, develop prototypes, and build proof-of-concept solutions to evaluate new opportunities and address evolving business needs
- Mentor and support team members by sharing technical expertise, promoting development best practices, and contributing to a culture of continuous improvement and collaboration
- Stay current on emerging technologies, analytics methodologies, cloud platforms, and industry best practices…
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