Explore opportunities with Kelsey-Seybold Clinic, part of the Optum family of businesses. Work with one of the nation’s leading health care organizations and build your career at one of our 40+ locations throughout Houston. Be part of a team that is nationally recognized for delivering coordinated and accountable care. As a multi-specialty clinic, we offer care from more than 900 medical providers in 65 medical specialties. Take on a rewarding opportunity to help drive higher quality, higher patient satisfaction and lower total costs. Join us and discover the meaning behind Caring. Connecting. Growing together. The Patient Access Center (PAC) Analytics team exists to monitor and improve patient scheduling and access across Kelsey-Seybold. Primary Responsibilities: - The PAC Data Analyst provides actionable insights through analysis of scheduling patterns, service levels, patient utilization, and financial modeling—including utilization metrics, payer mix, and reimbursement structures—to identify access gaps, inefficiencies, and opportunities for improvement - Along with historical analysis to inform future performance, insights, and guidance, this role requires experience in the healthcare industry with a solid understanding of provider scheduling, appointment workflows, visit types, and patient access metrics, enabling the analyst to create accurate reports, dashboards, and analyses that support leadership decision-making - Partners with clinical, operational, and business teams to enhance patient experience, optimize capacity management, evaluate campaign effectiveness, and drive initiatives that improve access and overall operational performance - The Data Analyst I provides patient access data, reporting and other actionable information to the PAC Management Team and other departments regarding the business units, process, products and/or service lines as directed by the manager. Responsibilities related to this position include: - Creating/producing access reports, analysis required to understand the key drivers of the relevant business unit or service line - Helping to develop the systems and processes that are the foundation for reporting and analysis 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: - Experience in data analysis, decision support, medical economics, healthcare informatics, or managed healthcare or equivalent combination of education and experience to demonstrate ability to succeed in healthcare analytics Preferred Qualifications: - Demonstrated ability to analyze and report on business units, products or service lines - Experience in the healthcare industry with understanding of data in healthcare organizations (including provider scheduling, appointment workflows, visit types, patient access metrics, and an understanding of financial modeling within healthcare operations such as utilization metrics, payer mix, and reimbursement structures) - Demonstrated analytical/modeling skills with ability to convert raw data into actionable business insights  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 $60,200 to $107,400 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. OptumCare 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. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

• Provide ongoing data support for compliance-related reporting, monitoring, audits, and ad hoc analytical requests; • Extract, transform, and analyze data using SQL across multiple systems and data sources; • Investigate data structures, query logic, and reporting requirements to ensure accurate and reliable outputs; • Perform thorough data validation and quality checks, challenging existing logic where needed; • Identify discrepancies, inconsistencies, and data gaps, and take ownership of resolving them; • Adapt to evolving data environments, recognizing when historical logic or assumptions are no longer valid; • Work with various reporting and analysis tools to support dashboards and data deliverables; • Contribute to reporting workflows, including spreadsheet-based analysis and lightweight dashboard solutions; • Manage multiple requests in parallel, balancing priorities and meeting tight deadlines; • Build understanding of business processes and data flows to continuously improve data quality and efficiency; • Document recurring logic, data sources, and processes to support knowledge sharing and scalability; • Collaborate with stakeholders while maintaining the ability to work independently on assigned tasks.

• Own the analytical engine of our commercialization system: discounting, pricing, regional sales, lifecycle performance, and portfolio analysis across our catalog of hundreds of games • Design and execute experiments in close partnership with our Business Operations Manager, who owns the discount calendar and discount strategy — you bring the analytical rigour, she owns the process and implementation • Build and maintain reporting for physical and digital sales across our publishing labels, including our newly acquired Thunderful portfolio • Take per-game analyses off the Director of Commercialization's plate and execute them consistently and on schedule • Build business cases for commercial decisions including platform deals, pricing changes, bundle strategies, and portfolio opportunities (ports, streaming, cloud gaming, physical partnerships) • Develop metrics to measure the holistic performance of our commercialization system at every level — game, catalog, and company • Inherit and improve AI-powered decision-support tools, including a discount depth recommender and discount scheduler • Identify and build additional automations that reduce manual analytical work across the team — with the goal of progressively freeing up capacity for higher-order problems • Serve as a thought partner on how AI tooling can augment work across departments beyond Commercialization • Work in close partnership with our Business Operations Manager: you own analytical depth, she owns process and execution — the handoff between you should be clean and mutually reinforcing • Present findings and recommendations to the Director of Commercialization and, where relevant, to executive leadership

• Assist in key strategic product projects, including performance analysis, data visualization, and strategic planning. • Help define and track the key metrics that show how our product is performing • Work closely with product managers and engineers to make sure new features are set up to collect the right data from the start • Run experiments (like A/B tests) to understand what improvements actually make a difference • Analyse how members use our the product — where they drop off, what keeps them engaged, and where we can improve • Turn data into clear insights and recommendations that help guide product decisions • Collaborate with data and engineering teams to ensure our data is reliable and easy to use • Help maintain clear definitions of key metrics so everyone is aligned • Support the team in understanding different user groups and behaviours as we grow