Pfizer's Global Commercial Analytics (GCA) team needs to harness data to drive analytical insights for critical business questions, supporting enterprise decision-making and patient impact. The Manager, Data Science role specifically aims to deliver data science-driven support for multiple brands, partnering with the US Commercial team to develop and implement models and insights that drive brand strategies and tactics.
Requirements
- Strong knowledge of SQL and Python/R
- Experience with machine learning and data visualization techniques
- Strong MS Excel and PowerPoint skills
- Experience in understanding brand content, strategy, and tactics
- Ability to effectively utilize dashboards and data products to derive insights
- Understands quantitative and qualitative research methodologies
- Experience in management of secondary data with application of real-world data
Responsibilities
- Provide data science and insights to US Commercial teams to drive brand tactic decisions
- Assist to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of brand strategies and tactics
- Partner with Sales and Marketing Leadership to support sales force execution
- Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute
- Guide stakeholders via compelling and persuasive story
- Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions.
- Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations
Other
- This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business.
- The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.
- Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization
- Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others
- Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork
