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. 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.
Workforce Intelligence Analyst Business Intelligence and AI‑Enabled Self‑ServiceAbout the Role McKesson's Workforce Intelligence team transforms workforce data into explicit, trusted insights that help leaders make better decisions. We combine high-quality business intelligence, thoughtful analysis, and practical technology enablement to make workforce information easier to access, understand, and use. As a Senior Workforce Intelligence Analyst, you will design and deliver visualization, reporting solutions, data products, and decision‑ready insights across key workforce topics. You will translate business needs into intuitive analytical experiences, connect and model data, define meaningful metrics, and help stakeholders confidently interpret and act on workforce information.
You will use approved AI capabilities to improve the speed, quality, and accessibility of BI work, and you will help build agentic and conversational solutions that enable responsible self‑service for defined Workforce Intelligence use cases. When advanced data science is appropriate, you will partner with data science, technology, privacy, legal, and governance teams.
Business Intelligence and Reporting Design, develop, and maintain intuitive dashboards, reports, scorecards, and data products using Power BI or similar business intelligence platforms.




Translate business questions into clear analytical requirements, data models, measures, visualizations, and user experiences.
Analyze workforce data to identify meaningful trends, patterns, relationships, and opportunities across topics such as workforce composition, talent movement, retention, recruiting, engagement, and organizational health.
Data Preparation, Modeling, and Quality Combine and transform data from multiple HR and business sources into reliable datasets for analysis and reporting.
Write and optimize SQL queries and use appropriate data preparation tools to support reporting and analysis.
Validate data, investigate discrepancies, document business rules, and partner with data owners to resolve quality issues.
Apply data governance, privacy, security, and access requirements throughout the design and delivery of workforce intelligence products.
Maintain clear documentation for data sources, definitions, transformations, assumptions, and known limitations.
Use approved AI assistants to support activities such as requirements synthesis, code development, documentation, quality checks, insight summarization, and content refinement, with appropriate human review.
Design and help build agentic, conversational, or natural‑language solutions that enable users to access and navigate approved Workforce Intelligence content and use cases through self‑service.
Ground AI‑enabled experiences in governed data, approved metrics,



curated knowledge, role‑based access, and clear business rules.
Partner with product, data, technology, security, privacy, legal, and governance teams to test and operationalize AI‑enabled self‑service solutions responsibly.
Help users understand the appropriate application and limitations of AI‑supported insights.
Partner with Workforce Intelligence consultants, HR partners, and business stakeholders to clarify needs, frame business questions, and prioritize analytical work.
Facilitate discovery sessions, define success criteria, and convert broad requests into practical BI solutions.
Present complex information in a clear, concise, and actionable manner for both technical and non‑technical audiences.
Build trusted relationships by setting clear expectations, communicating tradeoffs, and delivering high‑quality work.
Continuous Improvement and Team Contribution Stay current on business intelligence, data visualization, analytics engineering, and responsible AI practices relevant to Workforce Intelligence.
Identify opportunities to simplify recurring work, automate manual processes, improve user experience, and increase adoption of existing products.
Contribute to standards and reusable practices for dashboard design, metric development, documentation, quality assurance, and AI‑enabled self‑service.
Support proofs of concept for new BI and agentic capabilities, with an emphasis on practical value, responsible use, and sustainable ownership.
Bachelor's degree in Data Analytics, Business Intelligence, Information Systems, Mathematics, Human Resources, Business, or a related field. Minimum of 7 years of experience in business intelligence, reporting, data analysis, analytics engineering, or a related role.

📌 Sr. Workforce Intelligence Analyst (Canada)
🏢 MCD McKesson Canada Corporation / La Corporation McKesson Canada
📍 Canada