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.
McKesson is in the business of better health, and we touch the lives of patients in virtually every aspect of healthcare. We partner with payors, hospitals, physician offices, pharmacies, pharmaceutical companies, and others across the spectrum of care to build healthier organizations that deliver better care to patients in every setting. We believe in the importance of strong, vital organizations because we know that patients can only be healthy when our system is healthy.
Every single McKesson employee contributes to our mission—by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. Talented, compassionate people are the future of our company—and of healthcare. At McKesson, you’ll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Working here is your opportunity to shape an industry that’s vital to us all.

POSITION DESCRIPTION

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.
Travel may be required in some circumstances < 10%

MINIMUM REQUIREMENTS

• Typically requires 7+ years of relevant experience

CRITICAL SKILLS

• 7+ years of experience in data analysis, business intelligence, or portfolio analytics, ideally in an enterprise IT environment
• Advanced Power BI expertise, including data modeling, DAX, and development of impactful data visualizations tailored for executive and operational audiences
• Hands-on experience with Microsoft Fabric for unified data management and analytics across data engineering and business intelligence workflows
• Proficient in Power Automate to streamline and automate workflows between Microsoft and third-party applications
• Strong command of SQL for complex querying, data extraction, and transformation across multiple data platforms
• Experience with Databricks and Snowflake for scalable data processing, pipeline development, and advanced analytics use cases
• Awareness and practical application of Microsoft Copilot or similar generative AI tools to accelerate insights, reporting, and documentation
• Proven ability to partner across IT, finance, and business units to deliver actionable insights that drive strategic decisions

ADDITIONAL SKILLS

• Familiarity with Planview or similar portfolio/project management platforms
• Working knowledge of Python for data manipulation, statistical analysis, and integration into BI workflows
• Strong understanding of data architecture principles, including data governance, integration, and metadata management

EDUCATION

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field (or equivalent experience)

PHYSICAL REQUIREMENTS:

• General Office Demands
  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 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. For more information regarding benefits at McKesson, please click here.

• Leverage AI Powered tools (e.g., Microsoft Copilot) to accelerate data exploration, automate repetitive analysis tasks, and enhance storytelling with data.
• Design and implement automation workflows to streamline data collection, transformation, and reporting processes.
• Analyze structured and unstructured data from multiple sources (e.g., SAP, Planview, SQL databases) to identify trends, patterns, and insights)
• Uses Structured Query Language (SQL) to gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and external leadership in decision making.
• Establish and champion data integrity protocols. Partner with IT and business units to monitor, improve, and enforce data quality standards across systems impacting EPMO reporting and analytics.
• Lead efforts to forecast trends and model portfolio performance using advanced statistical techniques and business scenario analysis.
• Reasonable and consistent attendance to fulfill the requirements of the position