Senior Manager, Performance Analytics & Insights

Job Description

Global Commercial Analytics (GCA) 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, Commercial Analytics team’s rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, digital analytics, finance, and consulting.

As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patient’s lives and the future of Pfizer as a data-driven organization. We are seeking a Senior Manager of Commercial Performance Analytics & Insights to drive performance tracking and reporting for commercial performance, including product performance outcome reporting, omnichannel engagement activities, executive dashboard, and reporting, etc. This role will work closely with business stakeholders in the Chief Marketing Office (CMO) organization and other organizations within Pfizer and support efforts to standardize and centralize the commercial reporting eco-system and help implement industry best practices in performance reporting and insights 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 GCA colleagues worldwide that are dedicated to helping drive business through the ability to communicate complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and Key Accountabilities include, but are not limited to: • Support the build and standardization of commercial reporting eco-system.

• Develop and execute creation of in-house dataset to drive patient and HCP insights into infrastructure of care. • Frame, investigate, and answer key business questions related to organization wide performance reporting, including executive reporting. • Identify business partners’ information needs and develop solutions to address those needs.

• Connect reporting insights and datasets to tell a compelling and persuasive story, and deliver clear and actionable recommendations to stakeholders at all levels of the organization. • Collaboration with other GCA teams • Support dialogue to adapt global strategies and standardization of performance metrics and tracking via report and insight data gathering through sources such as vendors, dashboards, queries. • Leverage thought leadership to actively advance reporting and insights capabilities; seek to share knowledge and expertise with other colleagues making use of knowledge sharing platform.

Performs analysis and performance tracking to understand impacts to business. • Align with other commercial analytics teams ensure cohesive activities with our stakeholders such as brand teams, leaders and marketers to.

• Partner with other analytic functions to advance the use of novel data sources and reporting, including real world data, Data Science, etc. to recommend and implement improvements in reporting processes and tools. Qualifications • Bachelor’s degree (Master’s preferred) in a qualitative technical discipline such as computer science, engineering or related field.

• 6+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area. • Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred, commercial/marketing experience is a plus. • Analytics, statistics and/or database knowledge and experience (using tools, applications, platforms, etc.

). • Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages. • Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker • Experience in data types/formats, data architecture, pipeline optimization and hands-on experience with data warehousing/RDBMS, ETL scripting tools, and IDEs.

• Advanced knowledge of scripting tools for automation such as R, Python, Alteryx, etc. • Knowledge of data cloud platforms like Snowflake or Google Cloud Platform preferred. • Experience with business intelligence, analytics, reporting, and data transformation.

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