Senior Data Analyst - Operations

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job The Senior Data Analyst is responsible for designing, developing, and maintaining data-driven analytic solutions that support operational and strategic decision-making. This role partners closely wit [... source excerpt omitted ...] nes strong healthcare operations analytics expertise with exceptional communication skills, a passion for storytelling through data, and a curiosity for emerging AI technologies. You Will: Design, develop, and maintain enterprise dashboards, reporting solutions, semantic data models, AI-enabled applications, and analytical products using Power BI, AI technologies, Snowflake, and other business intelligence platforms. Partner with executive leadership, business stakeholders, and operational teams across functions including Enrollment, Grievances & Appeals, Claims Operations, Provider Data Management, Workforce Management, and other business areas to understand business objectiv [... source excerpt omitted ...] ting and analyzing current-state and future-state business processes, workflows, operational procedures, and user needs. Convert business needs into clear functional and technical requirements that support application development, process automation, analytics, and AI-enabled solutions. Partner with business owners to define, standardize, and govern enterprise metrics, KPI definitions, business rules, reporting methodologies, and data governance standards, ensuring consistency, accuracy, and alignment across executive, operational, and departmental reporting. Develop and maintain semantic data layers, analytical models, and governed reporting structures that establish trusted, reus