ROLE SUMMARY

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, GCA’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, engineering, 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.

 As a Data Science Associate, you will work in a dynamic, fast-paced environment. You will collaborate closely with senior business stakeholders in the Chief Marketing Officer (CMO) organization and other organizations within Pfizer, and help drive data-driven decision-making across the marketing organization. You will be responsible for developing new capabilities including enhancing our marketing measurement and optimization frameworks and delivering actionable insights that inform and optimize marketing efforts.

 Successful candidates will be client oriented, have excellent attention to detail with strong organizational skills and have experience in marketing analytics. Will have a passion for bridging the gap between data, technology, and people.

ROLE RESPONSIBILITIES

• Support the measurement and optimization analysis of Pfizer's marketing investments via both technology and process enhancements
• Collaborate closely with cross-functional teams to align marketing analytics capabilities with broader business objectives, fostering collaboration and effective decision-making
• Support and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution
• Leverage analytic techniques to provide insights on data
• Be a hands-on teammate who knows how to code in Python/R/SQL and able to communicate the results to the business stakeholders
• Handle inquiries regarding deliverables 

BASIC QUALIFICATIONS

• Bachelor's degree in any discipline with quantitative and analytic coursework in such disciplines as STEM  (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis such as Actuarial Science, Statistics, Computer Science, Operations Research, Economics, Engineering
• Fluent in English, both written and verbal
• Technically strong with proficiency in data extraction and analytic programming languages such as R, Python, SAS and SQL as well as analytic and visualization tools such as Tableau, Data Science Studio and Excel and analytics platforms

• Knowledgeable in application of statistics and data science techniques such as machine learning or similar quantitative approaches to solve real-world analytical problems

•  Good communication, presentation, and storytelling skills, with the ability to translate data into insights for diverse audiences.

• Collaborative and results-oriented with a strong work ethic and the ability to manage multiple priorities effectively

PREFERRED QUALIFICATIONS

• Knowledgeable with marketing attribution modeling and marketing mix modeling
• Experience in one or more of the following areas preferred: machine learning, Bayesian statistics, knowledge of pharma datasets such as IQVIA
• Understanding of optimization, mathematical modeling, machine learning algorithms, and data structures

EEO (Equal Employment Opportunity) & Employment Eligibility 

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

Marketing and Market Research