Manager, Commercial Performance Analytics.

Work Location Assignment: Mexico City, must be able to work from assigned Pfizer office 2-3 days per week , or as needed by the business.

SUMMARY Commercial Analytics harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business questions. With colleagues across the globe, the Commercial Analytics team’s rigorous analytical   expertise   is depended on as the compass for decision support across the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, commercial analytics, finance, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patients’ lives and the future of Pfizer as a data-driven organization.   We are seeking a   Manager , Commercial Performance Analytics to serve as a hands-on   indiv idual   contributor within our Mexico City analytics capability center, building the datasets, pipelines, and analytical assets that power performance tracking and insight generation for the commercial organization. This role designs and automates scalable analytics solutions in SQL, Python, and R, while partnering closely with US-based Performance Analytics and Insights (PAI) colleagues as its primary point of collaboration. Working from PAI-defined priorities, the successful candidate will help standardize and centralize   the commercial   analytics and reporting ecosystems and implement industry best practices in performance analytics and insight-generation processes.   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 Global Commercial Analytics (GCA) colleagues worldwide who are dedicated to driving business through proactive thought leadership, innovative technical capabilities, and the ability to communicate complex and dynamic information in new and creative ways.

RESPONSIBILITIES Technical Development & Analytics Solutions   Design, develop, and   maintain   scalable analytics solutions using SQL, Python, R, and related technologies.   Build,   optimize , and automate datasets, data pipelines, and reporting frameworks to support commercial performance measurement.   Engineer and integrate data from multiple internal and external sources to create robust analytical datasets.   Develop and   maintain   high-quality analytical assets, including dashboards, reporting tools, and reusable code libraries.   Improve performance, reliability, and scalability of existing analytics workflows through automation and process optimization.   Leverage AI, scripting, and emerging analytical technologies to increase efficiency and analytical capabilities.   Analysis & Insight Generation   Perform advanced analyses on patient, HCP, payer, and commercial datasets to   identify   trends, opportunities, and risks.   Apply statistical, quantitative, and machine learning techniques to solve business problems and generate actionable insights.   Conduct data quality assessments, validation, and troubleshooting to ensure accuracy and consistency of analytical outputs.   Translate complex analytical findings into clear insights supported by quantitative evidence.   Collaboration & Partnership   Partner closely with US-based PAI colleagues as the primary point of collaboration, supporting shared analytics priorities and delivering against team-defined requirements.   Translate information needs surfaced by PAI leads into robust analytical solutions, connecting datasets to tell a clear, compelling story backed by quantitative evidence.   Work with PAI and broader analytic functions to advance the use of novel data sources and improve reporting processes, tools, and standards.   BASIC QUALIFICATIONS   • Bachelor’s degree (Master’s preferred) in a quantitative