Data Analyst - Remote

Optum NY, is seeking a Data Analyst  to join our team anywhere within the U.S. Optum is a clinician-led care organization that is changing the way clinicians work and live.  

As a member of the Optum Care Delivery team, you'll be an integral part of our vision to make healthcare better for everyone.

At Optum, you'll have the clinical resources, data and support of a global organization behind you so you can help your patients live healthier lives. We believe you deserve an exceptional career, and will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be while Caring. Connecting. Growing together.  

The Data Analyst plays a critical role in supporting affordability initiatives for a risk-bearing entities within Optum Health's East markets. This individual will leverage healthcare data, including medical, pharmacy, provider, and enrollment datasets, to analyze cost drivers, identify savings opportunities, and support strategic decision-making.

The ideal candidate combines solid analytical and technical expertise with the ability to translate complex findings into actionable insights that improve cost efficiency, care delivery, and financial performance.

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:

• Analyze healthcare cost and utilization data (e.g., medical, pharmacy, provider, and enrollment) to identify key cost drivers and affordability opportunities
• Develop and maintain recurring reports, dashboards, and performance metrics related to healthcare spending and utilization trends
• Partner with cross-functional teams (finance, actuarial, clinical, network, and operations) to support affordability initiatives and strategic decision-making
• Conduct deep-dive analyses to investigate cost variation, high-cost populations, and emerging trends
• Support development of business cases and financial impact analyses for cost-saving initiatives (e.g., care management programs, network changes, benefit design)
• Translate complex datasets into clear, actionable insights and communicate findings to both technical and non-technical stakeholders
• Assist in building and validating analytical models to forecast cost trends and evaluate intervention effectiveness
• Perform data extraction, transformation, and validation to ensure accuracy, consistency, and integrity of datasets
• Identify opportunities to improve efficiency and reduce waste in healthcare delivery through data-driven insights
• Collaborate with data engineering or IT teams to enhance data quality, accessibility, and reporting capabilities
• Monitor performance of affordability initiatives and track savings against targets
• Support ad hoc analyses for leadership, including strategic questions related to cost, utilization, and financial performance
• Apply best practices in data governance, documentation, and compliance, including handling of sensitive healthcare data (e.g., HIPAA)
• Continuously improve analytical processes, tools, and methodologies to increase efficiency and insight generation

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:

• 5+ years of experience in data analysis, preferably within healthcare, health insurance, or cost/claims analytics
• Experience building dashboards and visualizations using tools like Tableau, Power BI, or similar
• Experience working with large, messy datasets and performing data cleaning, validation, and transformation
• Experience working in a regulated environment and handling sensitive data (HIPAA compliance knowledge preferred)
• Solid experience with data analysis tools and programming lang