ROLE SUMMARY

Business Analytics & Insights (BAI) 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, BAI’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 market research, data science, digital analytics, finance, and consulting. As a team, we partner 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.

This person in this role is accountable for leading omnichannel data enablement and analytics, in support of the growing roadmap of omnichannel capabilities across Emerging Markets including Asia, Latin America, Africa, and Middle East. This is a role within Business Analytics and Insights Emerging Market Global team, that will bring together the needs of omnichannel marketing to understand and engage our customers through measurement, activation, and personalization.

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 BAI 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.

ROLE RESPONSIBILITIES

Role definition and key accountabilities include, but are not limited to:

Omnichannel Data Enablement

• Drive the strategy and execution of data roadmap to enable omnichannel orchestration by integrating diverse internal and external data that support the build of customer journeys.

• Oversee data quality management process across 20+ Emerging Markets to ensure timely, accurate and complete customer centric omnichannel data.

• Identify, communicate, and resolve data issues for critical analytics and insights, coordinating with backend engineering team and root causing analysis, to improve the quality and consistency of our data.

• Build and maintain data dictionary, data profiling and process documentation

Omnichannel Analytics and Reporting

• Build analytic plans that heighten visibility of omnichannel opportunities that will increase the effectiveness and efficiency of the omnichannel experience.

• Identify critical success factors on Pfizer EM’s Go-to-market transformation journey and appropriate KPIs for measurement and partner with cross-functional teams to generate reports that communicate outcomes and recommendations

• Work with EM BAI and data science colleagues to consult on the appropriate methodologies to measure effectiveness of customer engagement activities and ensures standardization and alignment where possible across EM.

• Partner with EM BAI Data Science and analytic COE colleagues to inform decisions on how to optimize campaign execution and impact, best leveraging internal next best action AI/ML capabilities and develop short and long-term measurement plans.

Collaborate with regional and local BAI and Data Science teams

• Partner with market BAI leads to understand critical needs and opportunities on omnichannel data and analytics and develop

• Align across market BAI leads and data science colleagues to ensure cohesive activities with stakeholders.

• Partner with other analytic functions to understand and incorporate novel data sources as well as all the available data sources.

PROFESSIONAL CHARACTERISTICS

• 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 BAI can provide value to the organization

• Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights 

• 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

• Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork

• Project Manager: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in

• Self-Starter: Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data

Technical Skills

• Fluent in English (written and spoken)

• Strong MS Excel and PowerPoint skills

• Strong conceptual and analytical thinking combined with the ability to effectively understand analytic needs and build effective solutions

• Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques

• Experience with the application of statistics and data science techniques such as machine learning to solve business problems.

• 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

• Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics

• Ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question

• Ability to be flexible, prioritize multiple demands and deal with ambiguity

Experience
•    5+ years experience in business analytics or data science function, country strategy and/or strategic consulting
•    Hands-on data engineering with deep expertise in big data ecosystem for data integration, data storage, compute framework and analytics and technical expertise described above 
•    Analytic roles in healthcare and pharmaceuticals highly preferred, with Investment Banking & Finance desirable.  
 

Education

• Bachelor’s degree required, ideally in quantitative discipline like engineering or data science; also advanced degree preferred in business administration, statistics, or other relevant field

Location: anywhere in Emerging Markets including MERA, EM ASIA and LATAM

 
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Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.