Role Description Provides senior level analyst support for advanced provider data management (PDM) activities including analyzing business processes related to PDM, identifying areas for improvement, and developing and implementing solutions to optimize performance. Ensures accurate and timely maintenance of critical provider information for all provider databases, and application of business rules as it pertains to contracting, network management and credentialing. - Provides first-level triage and support for provider data management (PDM) analysts, and assists with fielding general questions. - Leads cross-functional projects from initiation to completion - ensuring adherence to timelines and quality standards. - Collaborates with stakeholders to understand business objectives and gather requirements, and translate accordingly into comprehensive business and functional specifications. - Analyzes complex health care data sets to identify trends, patterns and insights that drive informed decision-making and process improvements. - Evaluates existing workflows, procedures, and systems to identify inefficiencies and opportunities for optimization - proposes and implements innovative solutions. - Establishes and maintains strong relationships with key stakeholders, ensuring alignment and collaboration across departments. - Develops presentations to communicate key metrics, performance indicators and actionable insights to stakeholders at all levels of the organization. - Provides training, support, and guidance to end-users on new processes, systems and tools - ensuring smooth implementation and adoption. Qualifications - At least 4 years of business analytics experience in health care, preferably in a customer/provider services setting, or equivalent combination of relevant education and experience. - Proficiency in data analysis tools and techniques. - Presentation and interpersonal skills, and ability to interact effectively with stakeholders at all levels. - Critical-thinking skills, and attention to detail. - Organizational and time-management skills; ability to manage simultaneous projects and tasks to meet internal deadlines. - Effective verbal and written communication skills. - Microsoft Office suite (including Excel) and applicable software program(s) proficiency. Benefits Molina Healthcare offers a competitive benefits and compensation package. Company Description Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

• Partner with our content team to shape the curriculum —share expert judgment on what working analysts actually need to learn, and advise on the tools and features required to teach AI-assisted analysis effectively. • Design step-by-step walkthroughs and record video demos that show AI tools applied to real analyst workflows • Distinguish features (things AI lets you do that you couldn't before) from efficiencies (things AI lets you do faster) — and help us teach the difference • Pressure-test course content for skills alignment: does this cover what a learner actually needs to complete the task? What's missing, mis-sequenced, or tangential? • Record, edit, and deliver publish-ready instructional videos per our format and quality specs

• Create and improve processes, definitions, workflows • Assist in gathering requirements, building analytical models and/or reports • Provide structure to processes • Collaborate with various departments throughout the organization • Perform monthly refreshes for recurring dashboards/reports • Support quarterly vendor data uploads into internal database for Finance • Create follow-up reporting and building ‘next action’ process • Identify opportunities to utilize data-driven insights to optimize business performance • Continuously monitor data inputs from various data sources

• Análisis de Impacto (Pre & Post Feature): Serás el juez de nuestras iniciativas. Evaluarás la causalidad e incrementalidad de cada experimento y feature para retroalimentar el roadmap de productos. • Control Tower y KPIs: Diseñarás y mantendrás la "torre de control" (dashboards estratégicos) que permite a los líderes tomar decisiones informadas en tiempo real. • Gestión del Funnel (Tagging): Definirás la estrategia para medir el journey del cliente, asegurando que cada clic y evento se capture correctamente. • Data Lineage: Garantizarás la trazabilidad y calidad de los datos, desde su origen hasta el reporte final, para que la confianza en la información sea absoluta. • Democratización y Data Literacy: Capacitarás a Product Owners y stakeholders para que sean autónomos en el uso de herramientas de autoservicio y entiendan sus métricas.