Sr. Business Intelligence Analyst

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 tomorrows health today we want to hear from you.

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 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 sourcesensuring 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 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 that 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
Professional office environment

Travel may be required in some circumstances < 10%

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons 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. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson 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. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

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