You will develop a deep understanding of internal customer data and analytical needs focusing on customer-facing model leadership. You will champion the use of local customer insight in strategic and resourcing decisions across the business and identify and prioritize enhancements and new analytic capabilities. You should be able to lead the development deployment and embedding of such capabilities across the organization while instilling a culture of continuous improvement testing and deployment of new capabilities. Developing innovative analytical practices to create and sustain a competitive advantage is expected as is accessing appropriate information via a variety of tools and sources and summarizing and presenting findings through various communication should be capable of applying deeper technical skills and knowledge that is shared across the functional area including deep knowledge of key data sets and modeling capabilities. A high level of understanding of the points of integration between your work and that of colleagues is important. Monitoring the external environment to stay current on leading analytic capabilities both within and outside of pharma and applying those insights within the organization will also be for the role:A quantitative bachelor 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 (Masters MBA or PhD) is preferred. You should have 3 years of experience applying advanced methods and statistical procedures on large and disparate datasets along with recent experience and proficiency in PySpark Python R and SQL. Working knowledge of data visualization tools such as Power BI MicroStrategy Tableau QlikView or similar is expected as well as familiarity with platforms like Databricks and experience with IQVIA data sets. Strong skills in Excel and PowerPoint are required along with expertise in managing and analyzing a range of large transactional databases. A background in statistical analysis and modeling is a plus as is experience with machine learning. You should be able to derive summarize and communicate insights from analyses and have strong organization and time management :Strong leadership and interpersonal skills are important with a demonstrated ability to work collaboratively with business leaders and cross-functional partners. You should have excellent communication and influencing skills and the ability to develop and present clear compelling reviews of independently developed analyses including insights and business implications. Strategic and critical thinking skills are essential to engage and maintain credibility with the Commercial Leadership Team.
Required Experience:
IC