- Identify and prioritize enhancements and new analytic capabilities. Can lead the development, deployment, and embedding of such capabilities across the organization.
- Develop innovative analytical practices to create and sustain a competitive advantage.
- Access appropriate information via a variety of tools and sources
- Summarize and present findings through various communication channels
- Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
- Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
- Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization
- A quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science. An advanced degree is preferred (Master’s, MBA, or Ph.D.).
- Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics, and Bayesian methods.
- Data Mining, Predictive Modelling & Machine Learning algorithms.
- Optimization & Simulation.