Copilot Analytics Developer

McKesson•Mississauga, ON

33d•Hybrid

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. The AI & Copilot Analytics Developer is responsible for defining and operationalizing the analytics framework that measures enterprise adoption, usage patterns, and business impact of AI and Microsoft Copilot solutions. This role serves as the subject matter expert for analytics within the Microsoft ecosystem, leveraging tools such as Microsoft Power BI, Microsoft Viva Insights, and Microsoft 365 reporting capabilities to generate actionable insights. The role will translate platform telemetry, productivity insights, and usage analytics into clear recommendations that drive adoption, improve employee productivity, and maximize the value of AI and Copilot investments across the enterprise.

Requirements

Bachelor’s degree in computer science, Information Systems, Business, or related field (Master’s preferred) or equivalent and typically requires 4+ years of relevant experience.
5 to 7+ years of experience in enterprise analytics, business intelligence, or digital workplace analytics.
Deep expertise in Microsoft Power BI including data modeling, dashboard development, and enterprise reporting architecture.
Strong experience with Microsoft Viva Insights for organizational productivity and collaboration analytics.
Minimum of 5 to 7+ years of relevant experience in enterprise analytics, business intelligence, or digital workplace analytics.
Experience building executive-level dashboards and adoption analytics frameworks.
Strong data storytelling and stakeholder communication skills.
Experience measuring AI and Copilot adoption across enterprise environments.

Nice To Haves

Advanced knowledge of Microsoft 365 reporting and telemetry capabilities.
Familiarity with digital workplace analytics and productivity measurement frameworks.
Experience working in large, regulated enterprise environments.

Responsibilities

Enterprise AI & Copilot Analytics Strategy Define and implement the analytics strategy for AI and Copilot adoption across the enterprise.
Establish standardized metrics to measure usage, engagement, productivity impact, and value realization.
Partner with platform and business teams to ensure data-driven decision making for AI investments.
Microsoft Ecosystem Reporting & Insights Serve as the enterprise expert on Microsoft Power BI, building advanced dashboards and analytics models to track AI and Copilot adoption.
Leverage Microsoft Viva Insights to analyze work patterns, collaboration behaviors, and productivity trends related to Copilot usage.
Utilize Microsoft 365 usage analytics and reporting capabilities to monitor feature adoption and engagement across Teams, Outlook, SharePoint, and other productivity tools.
Develop enterprise-level reporting frameworks that consolidate insights across multiple Microsoft data sources.
Adoption & Value Measurement Track key adoption metrics including active users, feature utilization, prompt usage patterns, and workflow automation adoption.
Quantify productivity gains and efficiency improvements resulting from Copilot-enabled workflows.
Identify opportunities to improve adoption based on usage insights and behavioral patterns.
Executive Insights & Decision Support Develop executive dashboards and data storytelling frameworks to communicate Copilot impact and ROI to leadership.
Deliver clear, actionable recommendations that inform enterprise AI strategy and scaling decisions.
Translate complex telemetry and analytics into business-focused insights and narratives.
Continuous Improvement Identify barriers to Copilot adoption through analytics and recommend improvement strategies.
Collaborate with enablement, platform, and product teams to refine rollout strategies and maximize value.