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.
As a Business Data analyst, you will play a critical role in shaping the future of our data analytics initiatives. You will work closely with business leadership and cross-functional teams to define, build, and deploy cutting-edge analytics solutions that drive business outcomes. Your deep understanding of data, business strategy, and product management will ensure that our analytics solutions are aligned with our organizational goals and deliver maximum value. When needed, you will get hands-on, helping to create analytical solutions and insights that support our business.
Key Responsibilities:
Collaborate with Business Leadership:
Partner with executives and business leaders to understand their strategic goals and identify opportunities where data analytics can provide actionable insights and drive decision-making.
Communicate complex data concepts in a clear and concise manner to stakeholders at all levels of the organization.
Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics
Work closely with the other Data Engineers and Scientists to deliver results
Leverage tools and resources to plan, evaluate and execute strategic initiatives
Strong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi-shore teams/resources.
Continuously improve and optimize business processes and operations. Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.
Data Engineering and Analytics support