ROLE SUMMARY

Pfizer’s Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.  

The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization, is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise in all Pfizer geographies.   

Part of the Analytics Experience team are a group of User Success Engineers who are responsible for onboarding, enabling, and supporting self-sufficient analytical users across the Pfizer business, to ensure seamless user experience in the enterprise analytics platform. This platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation.  It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.  

In this role, you will be the responsible for understanding end users’ needs, providing technical guidance, and ensuring their success with enterprise analytics platform. You will work closely with platform engineers, and external vendors to address customer issues, gather feedback, and drive platform adoption through improvements. Smooth onboarding, ongoing support and robust change-management is critical to success in this role. As this role require both technical expertise and customer services skills, you will have the ability to develop technical proficiency and get exposure to Pfizer stakeholders. 

ROLE RESPONSIBILITIES  

With supervision, you will:

• Collaborate with cross functional teams and provide tailored solutions to meet stakeholders’ needs. 

• Facilitate the onboarding and training activities to ensure successful adoption of the enterprise platform. 

• Partner with end-users to provide support and guidance. 

• Proactively identify opportunities to improve user experience and drive customer satisfaction. 

• Contribute and manage our knowledge base, community forums and community of practice.

• Monitor and analyze customer usage data to identify trends and opportunities for optimization.

• Up-skill to and maintain ‘expert’ status in one of our core analytical platforms.

• Employ ‘creative disruption’ techniques to ensure continuous improvement and evolution within our methods and practices. 

BASIC QUALIFICATIONS  

• BS in computer science, data science, or a related field.

• 0-2+ years of work experience. 

• Familiarity with database systems such as PostgreSQL or MySQL. 

• Experience in frontend development using JavaScript or TypeScript. 

• Experience with developing, testing and maintaining high-quality code using Python.

• Hands-on skills in data engineering, machine learning and/or data visualization.

• Experience with analytical problem solving.

• Strong communication skills (written & verbal).

PREFERRED QUALIFICATIONS

• 1+ years of experience in the field of data and analytics. 

• Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku, Palantir or similar platform. 

• Strong hands-on skills in Data Visualization platforms (e.g. Tableau, Spotfire).

• Containerization and underlying infrastructure knowledge to support performance and resource optimization.

• Knowledge of software development methodologies (Agile, Scrum). 

 LI#PFE