Senior Business Intelligence Analyst
Listed on 2026-07-27
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IT/Tech
Data Analyst, Business Intelligence, Business Systems & Technology Analysis
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.
WhatYou’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.
- Design, build, and maintain
Tableau dashboards that are user-friendly, performant, meet production standards, and enable data-driven decision making across the organization - Designdbtmodels 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 tomonitorit
- Navigate ambiguous project requirements with limited information, recommendsolutionsand adapt to evolving business priorities and project types
- Own the full business intelligence lifecycle end-to-end: prototyping andvalidatingan 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 beforeit ships
- Proactively flag metric or logic inconsistencies youencounteracross 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
- Complete analytic ticket requests and ad-hoc reporting needs, communicating with stakeholders on status and relaying priorities
- Partner with Analytics Engineering, Health Care Economics, Data Science on shared models, upstream data quality, and new tools and capabilities that improve consistency and efficiency across the analytics stack
- Perform other duties as assigned
First and foremost , you’re passionate and committed to reimagining pediatric health care and creating a world where every child with complex medical conditions gets the care and support they deserve. You will need:
- 5+ years of experience in data analytics (3+healthcare data analytics)
- 3+ years of experience with Tableaudemonstratingadvanced use of calculations, parameters, performancetuningand interactivity
- Strong SQL skills and the ability to build analytic tools quickly to generate actionable insights from large-scale data in Snowflake or similar cloud data warehouses
- Preferred experience usingdbtfor data modeling with an engineering-minded approach: building reusable models, standardizing metric definitions, and reducing duplicated logic rather than treating each dashboard as an isolated deliverable
- Systems thinking; you naturally consider how a dashboard, metric, or model fits into the broader analytics ecosystem, and design for downstream dependencies and…
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