Senior Business Intelligence Analyst

McKessonColumbus, OH
1d

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. We are seeking a highly skilled, forward‑thinking Senior Business Intelligence Analyst to lead Reporting Excellence for Decision Intelligence (DI). This role sits at the center of DI’s modernization efforts and is the first of its kind within the organization from a reporting and data‑governance perspective. You will partner across Decision Intelligence, Data Engineering, Product, and Operations to drive reporting modernization, streamline processes, reduce rework, and create scalable best practices. Success requires strong communication skills, relationship‑building across technical and non‑technical groups, and the ability to lead influence‑based initiatives across a complex stakeholder environment.

Requirements

  • Degree or equivalent and typically requires 7+ years of relevant experience
  • 7+ years in BI, Analytics, Data Engineering, or related fields.
  • Expert (7+ years) SQL competency; experience with Snowflake or similar cloud platforms.
  • Advanced (7+ years) Tableau skills (modeling, performance tuning, UX).
  • Strong understanding of data modeling, semantic layers, and reporting architectures.
  • Experience with reporting standards, governance, or QA frameworks.
  • Exceptional written and verbal communication; ability to translate technical concepts for business stakeholders and influence without authority across the enterprise.
  • Experience mentoring analysts and raising technical capability.

Nice To Haves

  • Background in healthcare, specialty pharmacy, or complex operations.
  • Proven experience leading cross‑functional initiatives, with strong stakeholder‑management and insight‑delivery skills
  • Experience supporting executive reporting or forecasting teams.
  • Familiarity with Data Modernization, MDM, entitlements, and cloud analytics environments.
  • Experience building KPI catalogs, data dictionaries, or reporting toolkits.

Responsibilities

  • Reporting Standards & Governance Define and maintain enterprise reporting standards (KPIs, naming, performance, visualization, UX). Develop and manage DI’s Reporting Style Guide; drive adoption across analytics teams. Lead a bi‑weekly Reporting Excellence Council with Analytics, Engineering, and Product partners.
  • Templates & Semantic Layers Build reusable dashboard template packs. Develop and certify semantic layers and governed Tableau data sources. Maintain high‑quality data dictionaries and documentation.
  • Quality Assurance & Certification Own DI’s reporting QA framework (validation, regression, performance). Implement certification for executive‑ and client‑facing dashboards. Conduct targeted audits for high‑impact reporting.
  • Technical Enablement Mentor analysts through code reviews, training, and office hours. Upskill teams in SQL/Snowflake, Tableau, semantic modeling, and automation. Accelerate onboarding through reusable components and documentation.
  • Partnership with Data Engineering & Data Modernization Ensure DE‑delivered datasets are reporting‑ready and scalable. Influence schema design, ingestion planning, and canonical modeling. Identify upstream issues early to prevent downstream rework.
  • Automation & Performance Support infrastructure for Tableau→PPT automation, alerting/monitoring, and performance optimization. Track reporting usage and performance; recommend improvements.
  • Stakeholder Management & Communication Build strong relationships across DI, Engineering, Product, and operational teams. Communicate technical concepts clearly to non‑technical stakeholders while advocating for DI standards and data governance. Deliver insights and recommendations in a clear, executive‑ready format. Lead cross‑functional initiatives and governance efforts without formal authority.
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