Sr. Business Intelligence Analyst (Mississauga)
McKesson
Job Description
Sr. Business Intelligence Analyst Mississauga, Canada • Job ID JR0146086 • Category: Business Intelligence, Business & Strategy • Post Date: Apr. 23, 2026 McKesson is an impact‑driven, Fortune 10 company that touches virtually every aspect of healthcare. We deliver insights, products, and services that make quality care more accessible and affordable, focusing on health, happiness, and well‑being for both employees and the communities we serve.
Job Description As a senior member of the Enterprise Portfolio Management Office (EPMO) within McKesson Technology (MT), this position plays a critical role in translating complex data into strategic insights that drive enterprise decision‑making, portfolio optimization, and operational efficiency. The Sr. BI Analyst will lead data initiatives that enhance visibility, drive accountability, and support performance measurement across portfolios, programs, and IT investments.
This role requires a high degree of technical expertise, cross‑functional collaboration, and business acumen to influence outcomes at both tactical and strategic levels. You will champion data quality, standardization, and governance practices in partnership with stakeholders across MT, finance, and business units to design and deliver impactful analytical products and visualizations. The position will focus on designing and deploying automation solutions and scalable data products using tools such as Power Automate, Power Apps, Power BI, and Microsoft Fabric.
You will collect, connect, and transform data from a variety of systems, building reusable workflows, apps, and self‑service analytics that drive decision‑making and operational efficiency. A key responsibility will be to establish and protect trusted data sources—ensuring they are well‑governed, consistently structured, and easily accessible for business users. Key Responsibilities Design, build, and operationalize automated workflows that reduce manual effort across portfolio lifecycles.
Develop AI‑assisted capabilities that enhance decision‑making and governance. Build predictive and rules‑based models that support prioritization, risk detection, and delivery forecasting. Engineer clean, reliable data pipelines needed for automation and AI models.
Collaborate with IT, Finance, and EPMO leaders to translate business questions into scalable AI and automation solutions. Implement data quality and integrity practices to ensure AI and automation outputs remain reliable and auditable. Build reusable analytics assets that serve as the foundation for AI‑enabled portfolio insights.
Continuously assess emerging tools and capabilities to advance maturity of AI and automation. Minimum Requirements Degree or equivalent and typically requires 7+ years of relevant experience. Critical Skills Strong experience building automated analytics solutions in Power BI and/or Fabric.
Hands‑on experience designing workflow automations using Power Automate or similar tools. Solid SQL proficiency for transforming complex operational and financial data. Experience with modern data engineering platforms (Fabric, Databricks, or Snowflake).
Practical experience applying generative AI tools (e.g., Copilot, Azure, OpenAI) to business workflows. Experience with predictive analytics (e.g., correlational studies, regression analysis). Experience working with executive leadership.
Ability to translate business problems into decision intelligence solutions. Strong cross‑functional partnership and product‑thinking mindset. Additional Skills and Qualifications Familiarity with portfolio and project management platforms.
Working knowledge of Python for data engineering and ML experimentation. Strong understanding of modern data architecture and governance principles. Exposure to MLOps or operationalizing machine learning workflows.
Experience designing user‑centric analytics or automated workflows. Physical Requirements & Travel Professional office workplace. Travel may be required in some circumstances Compensation Base Pay Range: $99,100 – $132,100.
Compensation also includes potential annual bonus or long‑term incentive opportunities. For more information regarding benefits, visit the McKesson Total Rewards page. Equal Opportunity Employer McKesson is an Equal Opportunity Employer.
It provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. If a reasonable accommodation is needed during the hiring process, please contact the disability accommodation office at [email protected] (United States) or [email protected] (Canada). Resumes or CVs submitted to this email address will not be accepted. #J-18808-Ljbffr