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. We are seeking an experienced Director to lead our Performance Marketing Analytics team and drive the development and implementation of innovative data-driven solutions for our McKesson Medical Surgical business. The successful candidate will have a strong background in data analysis and holistic marketing measurement, as well as proven leadership skills and experience managing a team of data analysts. **Primary objectives and responsibilities:** Strategy development: Collaborating with cross-functional teams to define channel analytics strategies aligned with overall business goals. This includes identifying key performance indicators (KPIs), measurement strategy and metrics to measure channel effectiveness. Data analysis: Leveraging data from various sources (such as sales, marketing, customer interactions, and online platforms) to conduct in-depth analysis and derive actionable insights. This may involve using statistical techniques, data visualization, and predictive modeling to identify trends, patterns, and opportunities. Performance tracking: Monitoring and evaluating channel performance based on established metrics. This includes setting benchmarks, tracking progress, and reporting on key findings to senior leadership and relevant stakeholders. Channel optimization: Identifying areas for improvement and optimization within different channels, such as sales channels, marketing campaigns, or customer service interactions. This may involve conducting AB testing, leveraging customer research, and recommending strategies to increase efficiency and effectiveness. Forecasting and predictive analytics: Using historical data and statistical models to forecast future channel performance, anticipate customer needs, and predict market trends. This helps in making data-driven decisions and proactive planning.
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