McKesson is looking to refine its value proposition and provide world-class analytics and insights to key customers by leveraging its vast store of live data, turning insights and model predictions into program and product recommendations.
Requirements
- Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.
- Experience with statistical software experience (PYTHON, R, MATLAB, SAS, etc.) is a plus
- Experience with data mining, analysis, and providing insights.
- Adept at creating queries, writing reports, and presenting findings.
- Intermediate to Advanced proficiency in SQL.
- Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, Power BI etc.
- Able to communicate and manage expectations.
Responsibilities
- Serve as the lead analytics point of contact for specific Biopharma customers.
- Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors.
- Work closely with Commercial Customer Success Team (CST) members and external clients, demonstrating the value of CMM products through data narratives.
- Analytics work will consist of deep dives into program performance and health of the current portfolio.
- Perform in-depth analyses to identify opportunities which can lead to recommendations to improve overall profitability, value or strategic use of our products and make recommendations to improve overall profitability and value.
- Responsibilities will include using and identifying patient, product and network models to interpret data, creating ad-hoc reports, data visualizations, and modifying and updating standard reports when applicable
- Lead new data-driven insight presentations with customers.
Other
- Curious problem solver by nature; able to quickly make sense of complex data issues.
- Driven, self-motivated, team player adept at working in environment with competing priorities.
- Excellent communication and presentation skills including to senior leadership and C-Suite external stakeholders; able to “think on your feet” and respond to questions where the answer is not known or not straightforward. (able to provide complex analysis in layman’s terms – at varying levels of audience, from peer set to C-suite).
- Pharmacy or Financial transaction adjudication experience
- Curiosity - A naturally curious mindset with a drive to dig deeper into data and uncover the “why.”
