• Translate data into insights and actionable recommendations which drive change in philosophy, strategy, and execution • Support high-priority commercial initiatives by integrating insights from secondary data analytics, forecasting, primary market research, competitive and market intelligence • Work very closely with other functional teams to support them with their analytics needs. • Own patient level analytics like adherence, persistency, new starts and discontinuations, comorbidities etc. • Leverage machine learning algorithms and predictive methodologies to build, validate, and implement robust and timely models that are adopted and leveraged cross functionally. • Experiment with varied predictive algorithms to continually improve accuracy and recall of existing predictive models. • Help drive the advanced analytics roadmap from concept to reality. • Collaborate with third-party vendors, consultants, and business partners by serving as the primary point of contact responsible for the development of relevant business rules and appropriate governance. • Partner with cross functional commercial teams to help assimilate and drive adoption of results from predictive models into tactical execution and pull through initiatives. • Explore collaboratively with cross functional teams to advance the use of novel data sources like RWD. • Create and manage patient longitudinal journeys to summarize the market and use it in fundamental analyses like targeting and segmentation.