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 Senior Data Analyst serves as a strategic analytics partner within Shared Services & Business Solutions (SSBS), supporting enterprise initiatives through the development of scalable reporting, dashboards, data models, and analytical solutions.
This role partners directly with internal customers, Revenue Operations Managers, business leaders, and cross-functional stakeholders to understand business challenges, define analytical approaches, and deliver insights that improve operational performance and decision-making. The Senior Data Analyst translates business requirements into actionable analytics solutions while ensuring data quality, reporting integrity, and sustainable delivery practices.
Success in this role requires a combination of technical expertise, business acumen, consultative problem-solving, and the ability to transform complex data into meaningful insights that drive measurable business outcomes.
Key Responsibilities
Design, develop, and maintain dashboards, reports, scorecards, and self-service analytics solutions using Power BI, Tableau, SQL, and related technologies to support operational performance and business decision-making.
Partner directly with internal customers, Revenue Operations Managers, and business stakeholders to understand business objectives, operational challenges, reporting requirements, and success measures.
Translate business requirements into scalable analytics solutions , including data models, reporting logic, visualizations, KPIs, and automated reporting capabilities.
Analyze complex datasets to identify trends, opportunities, risks, and performance drivers , delivering actionable insights and recommendations that support strategic and operational decisions.
Ensure data quality, accuracy, and reliability through data validation, governance practices, documentation standards, and ongoing maintenance of reporting assets.
Collaborate with enterprise data, technology, and architecture teams to enhance data accessibility, reporting capabilities, and analytics solution performance.
Drive continuous improvement through automation, innovation, and best practices , lever