Strategy Analyst, Life Sciences - Remote

UnitedHealth Group•New York, NY

1d•$72,800 - $130,000•Remote

About The Position

Optum Life Sciences is seeking a Strategy Analyst to support the Strategy & Enterprise Development organization as the business advances growth priorities across data assets, AI-enabled solutions, platform modernization, enterprise partnerships, and life sciences commercialization. This role provides analytical and execution support across multiple initiatives. The Strategy Analyst will conduct research, organize and synthesize information, support market assessments and business cases, prepare presentations, track work, and complete assignments under the direction of senior team members. The position is intended for an early-career professional who can contribute high-quality work across changing priorities while developing broader strategy and life sciences expertise. The Strategy Analyst will support the team rather than independently own a major strategy area at the outset. Success will depend on reliable execution, clear communication, sound analysis, and effective collaboration across functions.

Requirements

2+ years of experience gained through employment, internships, consulting engagements, fellowships, substantial academic projects, or related work involving strategy, market research, business analysis, consulting, product management, healthcare, life sciences, analytics, or a related discipline
Experience conducting research, market assessments, competitive analysis, business evaluations, business-case development, or related analytical work
Experience gathering, organizing, analyzing, and synthesizing information into presentations, reports, summaries, recommendations, or other business materials
Experience supporting multiple projects, priorities, or deliverables simultaneously while meeting established deadlines
Experience working with cross-functional stakeholders, teams, or business partners to complete deliverables or support project objectives
Proficiency with Microsoft Excel and Microsoft PowerPoint
Written and verbal communication skills demonstrated through presentations, reports, project updates, summaries, or business recommendations

Nice To Haves

Experience in life sciences, pharmaceutical, biotechnology, healthcare provider, health system, healthcare technology, healthcare data, analytics, or consulting environments
Experience preparing executive-level presentations, recommendations, or decision-support materials
Experience supporting strategic planning, growth initiatives, portfolio analysis, product strategy, commercialization, or business development activities
Experience using enterprise-approved AI tools to support research, analysis, synthesis, presentation development, or productivity
Internship, fellowship, consulting, or project-based experience supporting strategy, market research, business analysis, healthcare, life sciences, analytics, or related initiatives
Familiarity with Power BI, Tableau, Domo, SQL, or comparable analytics and visualization tools
Exposure to healthcare data, real-world data, life sciences analytics, commercialization, digital health, or AI-enabled business solutions

Responsibilities

Conduct market, industry, competitive, client, and business research to support strategic priorities
Gather, organize, analyze, and synthesize qualitative and quantitative information into clear findings and actionable insights
Support market assessments, competitive analyses, business cases, opportunity evaluations, and value-proposition development
Prepare presentation decks, executive summaries, meeting materials, status updates, and other strategy work products
Assist with evaluation of opportunities involving life sciences data assets, analytics, AI-enabled solutions, platforms, partnerships, and commercialization
Support initiative tracking by maintaining work plans, milestones, action items, dependencies, and status updates
Coordinate inputs and follow-up across strategy, product, technology, data, commercial, finance, operations, and other stakeholders
Contribute to multiple concurrent projects and adjust to changing team priorities
Support reporting, data visualization, and dashboard activities as needed
Use enterprise-approved AI tools to streamline workflows, strengthen research and analysis, improve work products, and support continuous improvement
Apply AI responsibly in accordance with applicable data privacy, security, confidentiality, and approved-tool requirements