Job DescriptionAs 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, working closely with stakeholders across MT, finance, and business units to design and deliver impactful analytical products and visualizations.This 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.The role requires a strong understanding of automation, low-code/no-code platforms, and data modeling practices that support both operational reporting and proactive insights. You will work closely with internal teams to translate business needs into automated solutions, self-service dashboards, and predictive analytics. Responsibilities include designing user-friendly interfaces, developing automated data pipelines, enabling self-service capabilities, and supporting best practices in data quality, governance, and reusability.Key ResponsibilitiesDesign,



build, and operationalize automated workflows that reduce manual effort across portfolio lifecyclesDevelop AI-assisted capabilities that enhance decision-making and governanceBuild predictive and rules-based models that support prioritization, risk detection, and delivery forecastingEngineer clean, reliable data pipelines needed for automation and AI modelsCollaborate with IT, Finance, and EPMO leaders to translate business questions into scalable AI and automation solutionsImplement data quality and integrity practices that ensure AI and automation outputs remain reliable and auditableBuild reusable analytics assets that serve as the foundation for AI-enabled portfolio insightsContinuously assess emerging tools and capabilities to advance maturity of AI and automationMinimum RequirementsDegree or equivalent and typically requires 7+ years of relevant experience.Critical SkillsStrong experience building automated analytics solutions in Power BI and/or FabricHands‑on experience designing workflow automations using Power Automate or similar toolsSolid SQL proficiency for transforming complex operational and financial dataExperience with contemporary data engineering platforms (Fabric, Databricks, or Snowflake)Practical experience applying generative AI tools (e.G., Copilot, Azure, OpenAI) to business workflowsExperience with predictive analytics (correlational studies,



regression analysis)Experience working with executive leadershipAbility to translate business problems into decision‑intelligence solutionsStrong cross‑functional partnership and product‑thinking mindsetAdditional Skills and QualificationsFamiliarity with portfolio and project management platformsWorking knowledge of Python for data engineering and ML experimentationStrong understanding of modern data architecture and governance principlesExposure to MLOps or operationalizing machine learning workflowsExperience designing user‑centric analytics or automated workflowsPhysical RequirementsProfessional office environment.TravelTravel may be required in some circumstancesCompensationWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. The pay is determined by several factors, including performance, experience, skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation such as an annual bonus or long‑term incentive opportunities may be offered.Base Pay Range$99,100 - $132,100Equal Opportunity EmployerMcKesson 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.McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including those with disabilities.AccommodationsFor a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to [email protected] (United States) or [email protected] (Canada). Resumes or CVs submitted to this email box will not be accepted.#J-18808-Ljbffr

📌 Sr. Business Intelligence Analyst - $99,100 - $132,100 A Year (Winnipeg)
🏢 McKesson
📍 Winnipeg