• **Develop and Evolve the Data Culture:** Translate raw market and internal data into high-impact, actionable insights to support decision-making. • **Be the Engine of Automation:** Identify bottlenecks, manual routines, and routine operational processes within the team, designing automated solutions using Google AI tools to deliver efficiency and time savings. • **Modeling and Visualization:** Support the team of analysts and specialists in data structuring and analysis, linking strategic and operational metrics visually and building in-depth analyses that feed back into the planning process. • **Partnership and Facilitation:** Collaborate with internal, multidisciplinary teams to co-create solutions.

Requisition Number: 2366250 At UnitedHealthcare, 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 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: - Partner with stakeholders to develop holistic measurement frameworks aligned to organizational KPIs, member experience goals, and business outcomes. Ensure measurement approaches reflect enterprise priorities and support cross channel analytics - Act as a subject matter expert on analytics best practices, enabling comprehensive visibility into member behaviors across digital journeys, call interactions, chat, surveys, and claims - Support product, operations, consumer experience, and digital teams with recurring and ad hoc reporting, deep dives, and insights that answer key business questions - Develop learning, experimentation, and optimization plans in partnership with data science, CX, digital product, and business stakeholders - Promote data driven decision making across the organization and build strong, collaborative relationships with stakeholders - Establish measurable goals and success frameworks that connect analytics insights to ROI and tangible business impact - Gain deep understanding of digital and service experience ecosystems, including website architecture, call drivers, chat flows, survey signals, and claims related interactions, to contextualize insights and identify root causes - Manage expectations, timelines, and scope effectively while leading analytical workstreams. - Facilitate workshops, working sessions, and insight readouts across product, technical, operations, and design stakeholders - Manage multiple simultaneous projects and collaborate effectively with distributed, cross functional teams - Communicate findings clearly through multiple channels (presentations, dashboards, email summaries) and escalate issues proactively - Monitor trends across digital experience, service operations, consumer behavior, analytics technologies, and generative AI to identify new opportunities 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: - 3+ years of analytics experience, ideally spanning digital, call center, or multi channel environments - Experience with analytics tools such as Adobe, Google Analytics, or other digital experience platforms, plus familiarity with service analytics or operations data sources - Demonstrated experience managing the analytics lifecycle, including testing methodologies, experimentation, and optimization - Proficiency with common productivity tools (Excel, Word, PowerPoint) - Intermediate SQL skills and curiosity to explore, validate, and combine datasets across digital, telephony, chat, survey, and claims systems - Proven solid problem solving skills, intellectual curiosity, and a passion for uncovering insights that improve customer experience and organizational performance *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description At Vantage, the Senior Data Scientist/AI Analyst will play a critical role in developing analytical solutions to support our business partners. We welcome candidates with either a data science background with exposure to AI techniques and tools or an AI analyst background that combines strong data analysis skills with deep expertise in leveraging AI models and toolkits and/or building Agentic systems. Data Scientists will leverage advanced statistical, modeling, and AI skills; AI Analysts will leverage strong data/business acumen, creative problem solving, and knowledge of AI and Agentic toolkits. In both cases, the individual will use their respective skillset to help our underwriting, actuarial, and operations partners better understand, quantify, and manage their risks differently, ultimately delivering high-quality, transparent, and business-aligned outcomes. We are seeking a curious, creative, and self-motivated individual who is energized by using data and analytical techniques to solve challenging real-world problems. Vantage’s US colleagues have the flexibility to work anywhere in the United States (excluding US territories and possessions). Responsibilities & Accountabilities - Build sustainable solutions for our customers using data analysis, machine learning, and generative AI techniques. - Perform cost-benefit analyses to determine the value of a project and assist in estimating the return on investment of deployed analytical and AI solutions. - Identify new data sources—internal and external, structured and unstructured—and quantify their potential value as inputs to AI, ML, and analytical products. - Partner with data engineers to build analytical and model training datasets and with ML ops engineers to operationalize solutions. - Present solution results to the Data, Analytics, and Technology team, as well as business partners across the organization; translate technical work into business outcomes. - Monitor and maintain solutions once deployed; identify opportunities to increase the impact of deployed solutions. - Perform ad-hoc analyses as needed. - Remain current on industry trends, tools, and techniques. - Be a thought partner. Assist in driving or supporting the business problem solving process. Qualifications - Bachelor’s degree in a relevant field required; Master’s or Ph.D. in a STEM field is a plus but not required or equivalent professional experience. - 5+ years of experience in a Data Science, Applied AI, or Applied R&D role. - Hands-on experience building solutions with large language models; experience fine tuning or developing agentic systems a plus. - Strong foundation in statistics, classical machine learning, and experimentation. - Strong knowledge of Python and/or R; strong knowledge of SQL. - Hands-on experience with version control systems such as git is a plus but not required. - Ability to partner with engineers to operationalize assets in production. - Ability to build analytical and AI-powered web applications via e.g. Streamlit, R Shiny, and/or PowerBI, etc. - Insurance or financial services experience strongly preferred; however, we are open to strong generalists from other domains who can ramp on the industry. - Ability to prioritize and balance speed of development with quality of work. - Experience building end-to-end solutions. - Ability to collaborate with fellow members of the Data, Analytics and Technology group and with our business partners. - Strong project management skills, with emphasis on attention to details and meeting proposed timelines. - Clear, concise communication skills with the ability to share complex information in a way that everyone can understand. - Ability to build productive working relationships with stakeholders. - Ability to process and adapt to change in a rapid growth company environment. Benefits - Base salary expectation for this role is between $135,000 and $170,000. - Performance-based bonus potential. - Strong health & welfare benefits. - Retirement plans with company match. - Competitive time off plans. - A highly flexible work environment. - Much more. Our Vantage Values - Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities. - Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined. - We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally. - Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself. - Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.

• Develop dashboards and reports that help teams understand performance (revenue, customer behavior, park operations, etc.) • Translate business questions into clear, actionable analytics • Improve self-service capabilities so teams can answer their own questions efficiently, while maintaining a clean single source of truth • Build and maintain dbt models that form our core analytics layer • Ensure data quality, consistency, and reliability across all tables and sources • Implement documentation, testing, and versioning best practices • Partner with the Operations, Marketing and Finance leadership to understand their data needs • Design efficient datasets that empower non-technical users • Ensure consistent KPIs and definitions across teams and systems • Support Kids Empire requirements when designing metrics and data models • Work alongside the tech team and data engineers on the redesign of our operational schema • Provide analytics-driven input to ensure reporting and insights are treated as first-class priorities in the new data structure • Validate that data outputs remain consistent during dual-write and cutover phases, and update the reporting layer to use the new schema