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Business Intelligence Sr. Specialist - HRBR

Job in Munster, Lake County, Indiana, 46321, USA
Listing for: Mckesson Corporation
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 95971.7 USD Yearly USD 95971.70 YEAR

Job Description & How to Apply Below

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.

About the Role

McKesson is seeking a Business Intelligence Sr. Specialist to lead the development and delivery of reporting, dashboards, scorecards, and analytical products that strengthen operational visibility and decision support across Financial Shared Services. Reporting to the Director, Business Intelligence, this senior specialist will transform operational, financial, and process data into trusted, timely, and actionable insights that strengthen decisions, operational performance, and transformation outcomes.

You will partner with Finance, Operations, Process Intelligence, Data Governance, Data Operations, and Technology & Automation to advance reporting excellence, analytics adoption, continuous improvement, and the organization’s data-driven culture.

What You'll Do
  • Lead development of enterprise reporting solutions, dashboards, scorecards, and performance management tools.
  • Develop and maintain KPI scorecards, operational performance dashboards, and management reporting packages aligned to governing metric definitions.
  • Generate actionable insights through trend analysis, variance reporting, forecasting, root-cause analysis, and performance diagnostics.
  • Own sprint and backlog execution, delivery risk, stakeholder commitments, UAT coordination, and release readiness.
  • Own BI release management, testing, quality assurance, production support, and reporting accuracy.
  • Drive reporting automation, self-service analytics, user adoption, analytics literacy, and access to trusted business information.
  • Support AI-enabled reporting, anomaly detection, predictive analytics, and decision-support tools with responsible governance.
  • Provide coaching and direction to BI analysts and project resources while fostering accountability, collaboration, innovation, and continuous learning.
Basic Requirements
  • 7+ years of experience in business intelligence, analytics, reporting, performance management, transformation, consulting, or related fields.
  • Experience managing projects or leading cross-functional initiatives.
  • Bachelor’s degree in Business, Finance, Data Analytics, Information Systems, Statistics, Engineering, Mathematics, or a related discipline.
  • Experience designing and deploying enterprise reporting and analytics solutions.
  • Experience performing quantitative analysis, trend identification, forecasting, KPI development, and root-cause analysis.
  • Experience applying AI, Generative AI, predictive analytics, or advanced reporting technologies while supporting responsible adoption and governance.
  • Experience designing dashboards, reporting solutions, scorecards, and analytical products.
  • Experience applying AI, Generative AI, predictive analytics, anomaly detection, forecasting, and emerging business intelligence technologies.
Preferred Skills/Experience
  • Master’s degree in a relevant discipline.
  • Certifications in business intelligence, data visualization, or analytics platforms such as Microsoft Power BI, Tableau, or Alteryx.
  • Experience with Microsoft Power BI and advanced analytics platforms.
  • Experience with cloud-based data and analytics platforms such as Azure, AWS, or Snowflake.
  • Agile delivery credentials such as…
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