Senior Data Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

Participate in efforts to develop and execute operational and strategic client plans that addresses the client's supply chain needs

Partner with analytics principals to create solutions that effectively support all known requirements and effectively answer the relevant questions about performance and opportunities for optimization

Support prioritization efforts with supply chain operations teams to streamline operational processes through better utilization of core supply chain systems and development of supplemental analytics

Act as a subject matter expert in the best practices of health system supply chain initiatives and analytics to support those initiatives

Ensure effective documentation processes throughout all the entire analytical lifecycle

Collaborate with team members to create content onboarding and rollout strategies that promote the adoption and utilization of new analytical tools, products, or capabilities

Partner with analytical platform teams, data engineering, and data governance to support analytical best-practices and common standards

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Key Activities:

Participate in the creation and optimization of supply chain analytics to support data-driven decision making across the organization

Promote the evolution of supply chain analytics to increase insight generation, root-cause identification, and best-practice adoption

Evaluate opportunities to adopt sophisticated analytical models that enable insights and clear actionability to support organizational goals

Create processes and accountability for the continuous rationalization of the supply analytics portfolio

Disseminate best practices tailored to all levels of decision making (i.e. from real-time tactical decision making to long-term clinical strategy)

Collaborate in the effort to create analytics that supports effective decision making across all health system sites of care (e.g. inpatient, outpatient, ED, physician practice, etc.) related to supply utilization, cost, and optimization

Partner with analytical platform teams to ensure accuracy and efficiency in aggregation and alignment of foundational data assets needed to power analytics

Partner with other domain teams to infuse supply data into clinical, quality, and patient outcome insights and the decision-making process for operational, financial, growth, and other focus areas

Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights

Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth

Synthesize findings into clear, decision-ready recommendations with a solid "so what" and quantified business impact

Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights

Communicate insights through compelling storytelling tailored to executive and operational audiences

Identify and prioritize opportunities for optimization

Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation

Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases

Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE

Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations

Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work

Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices

Required Qualifications:

Bachelor's degree

5+ years of healthcare experience with knowledge and background in health system analytics and / or 5+ years of experience in clinically focused consulting engagements or large internal healthcare projects/programs for health care delivery systems

5+ years of experience with operational processes and clinical decision making in the various providers within a health care delivery system (e.g., hospitals, medical groups, post-acute care organizations, physician practices, ambulatory surgical centers, etc.)

5+ years of experience managing analytics projects or initiatives with minimal guidance

5+ years of experience in analytics, strategy, or data-driven problem solving

Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)

Experience translating data into insights and recommendations for business or operational stakeholders

Experience communicating findings clearly to both technical and non-technical audiences

Experience working in a cross-functional, matrixed environment

Proven solid analytical thinking with the ability to structure ambiguous problems and identify key drivers

Preferred Qualifications:

Experience with Business Intelligence tools such as Qlikview, Power BI and/or Tableau

Experience with healthcare systems and supply chain

Experience understanding and writing SQL

Experience with 3rd parts supply organizations and software

Experience and credibility interacting with all levels of leadership

Experience working in Agile environments, employing SCRUM, Lean, and Kanban methodologies

Subject matter expertise in health system clinical operations, finance, statistical analysis

Demonstrated ability to influence stakeholders and drive adoption of recommendations

Proven solid storytelling and presentation skills, particularly for executive audiences

Proven desire to continuously learn, challenge assumptions, and improve how analytics drives business outcomes

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.