Sr. Manager, Performance Analytics & Insights
PfizerAbout the role
Role 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, 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 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 insight generation for the commercial organization, including product performance outcome reporting, brand strategy insights, omnichannel engagement activities, executive analytics, 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 analytics and reporting ecosystems and help implement industry best practices in performance analytics 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 Global Commercial Analytics (GCA) colleagues worldwide that are dedicated to helping drive business through proactive thought leadership, innovative research capabilities, and the ability to communicate complex and dynamic information in new and creative ways.
Role responsibilities
Support the build and standardization of commercial analytics capabilities.
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.
Identify business partners’ information needs and develop solutions to address those needs.
Connect datasets to tell a compelling and persuasive story and deliver clear, actionable recommendations to stakeholders at all levels of the organization.
Collaboration with Other Analytical Teams
Support dialogue to adapt global strategies and standardization of performance metrics and tracking via data gathering through sources such as vendors, dashboards, queries.
Leverage thought leadership to actively innovate analytics 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.
Basic Qualifications
Bachelor’s degree (Master’s preferred) in a quantitative discipline such as computer science, engineering, economics, statistics or related field.
6+ years of experience in Biopharma, analytics, strategic consulting, business, or related fields.
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.).
Understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and similar.
Extensive expertise in SQL, Python, R, or similar; other object-oriented programming languages.
Experience in data types/formats, data architecture, pipeline optimization
Extensive professional hands-on experience with data warehousing/RDBMS, ETL scripting tools, and IDEs.
Experience working in Jira and Confluence.
Knowledge of data cloud platforms like Snowflake or Google Cloud Platform preferred.
Advanced knowledge of scripting tools for automation such as R, Python, Alteryx, etc.
Experience with business intelligence, analytics, reporting, and data transformation.
Strong Project Management Skills: Overseeing complex, cross-functional projects, ensuring delivery on time and within budget
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