Senior Business Intelligence Analyst

Who We Are Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity.What You’ll Do  Reporting to the Manager, Business Intelligence, the Senior Business Intelligence Analyst is responsible for working cross-functionally with stakeholders across the organization (e.g. clinical, operational, product, finance, and beyond) to drive analyses and insights that lead to more informed decisions and improved business performance. This role owns the full business intelligence lifecycle: understanding a stakeholder’s workflow, defining the metrics that monitor it, and delivering trusted, reusable analytical solutions from prototype through production. This role will be part of a fast-growing, fast-paced technology organization working to create bespoke solutions to support medically complex children on Medicaid, increasing safe days at home.    You will:    Design, build, and maintain Tableau dashboards that are user-friendly, performant, meet production standards, and enable data-driven decision making across the organization  Design dbt models as reusable data products rather than one-off, dashboard-specific logic; check for and reuse existing models, metrics, and semantic definitions before building new ones, and own the consistency of what you introduce  Partner with stakeholders across organization to gather requirements, understand how their workflow operates, and translate that understanding into the metrics and key performance indicators needed to monitor it  Navigate ambiguous project requirements with limited information, recommend solutions and adapt to evolving business priorities and project types  Own the full business intelligence lifecycle end-to-end: prototyping and validating an approach with stakeholders, building the underlying data model and dashboard, QA testing for accuracy and edge cases, and user testing to confirm the solution meets stakeholders' expectations before it ships  Proactively flag metric or logic inconsistencies you encounter across domains, even ones outside your immediate project, rather than working around them  Use SQL and other tools to collect, process, and analyze large datasets from claims, EHR, HIE, and other programmatic and operational sources  Support self-service analytics by building dashboards and semantic layer components that stakeholders can confidently explore and extend on their own, reducing one-off reporting requests...