Job Description

Why Patients Need You

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.

What You Will Achieve

• As a Senior Associate, your knowledge and skills will contribute towards the goals and objectives of the team.  
• Your focus and ability to meet team targets will help in completing critical deliverables. Your innovative use of communication tools and techniques will facilitate explaining difficult issues and establishing consensus between teams. 
• Your hard work and focus will help make Pfizer ready to achieve new milestones and help patients. 
• The ideal candidate would be someone with advanced knowledge of visualization tools, cloud databases, AI/ML tools, and some knowledge of building APIs. 
• Responsible for the design, development and implementation of short- and long-term solutions to SAS COE needs through new and existing applications, systems architecture, and applications infrastructure. 
• The role will design and develop Patient Insights Platform Advanced Analytics and visualization solutions and utilize data prep and visualization platforms.

How You Will Achieve It

• Responsible to design, selection, and implementation of analytics changes by comparing them with business requirements and design documents
• Creating analytics and AI/ML plans and instructions for operating complex business systems
• Works with product owners to prioritize features for ongoing sprints and manages a list of technical requirements based on business needs, new technologies, known defects, and issues.
• Assisting the technology, systems and process workstreams to define the shared data model vision, data sourcing approach, data transformation approach and data reconciliation approach.
• Developing innovative approaches to generating insights utilizing SPP, HUB data and additional data
• Coordinating across many stakeholders, creating a collaborative network with critical internal and external stakeholders. This can include outside contractors such as software vendors, data providers and specialty pharmacy customers.
• Knowledge of Predictive analytics, Machine learning and Web applications.
• Can work independently under close supervision, including making recommendations without significant oversight.
• Collaborates with internal/external partners to design, build and deliver best-in-class data products roadmap globally
• Contributes to a culture of high performance, innovation, and continuous improvement. 
• Demonstrates outstanding collaboration and operational excellence

You will have the opportunity to:

• Demonstrate a solid ability to tell a story with simplistic views of complex datasets
• Patient Insights Data architecture and advanced analytical algorithms
• Delivering data reliability, efficiency, and best-in-class visualization analytics and machine learning algorithms.
• Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools
• The scope of this role includes a wide range of highly analytical platforms and data sources with diverse collection points and complicated collection methods.

Qualifications

Must-Have

• Bachelor’s degree required, preferably in Computer Science, Engineering, or a related field
• 3+ years of relevant experience emphasizing application support, development, or systems engineering.
• Experience supporting applications and solutions in the pharmaceutical industry.
• Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority
• Demonstrated understanding of analytic tools/methods and the ability to generate vital customer insights and market intelligence.
• Ability to effectively link insights to implications to inform strategy, planning and execution
• Proven experience and demonstrated skills Snowflake, Informatica Intelligence Cloud Services tools, JAVA, Tableau Visualization and Data IKU
• Good understanding of data compliance processes and controls around Patient Health Information (PII) and Patient Identifiable Information (PII)
• Good understanding of Agile methodologies and SDLC processes
• Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization.
• Strong analytical, critical thinking, and troubleshooting skills
• Ambition to learn and utilize emerging technologies while working in a stimulating team environment.

Nice-to-Have

• Knowledge of systems within the Patient Services function.
• Process-oriented with strong organization, project management and coordination skills.
• Ability to adapt to changing working conditions and work assignments, to be open, and motivated to learn and adopt new ideas and concepts.
• Knowledge of database, storage, hosting, cloud, application, analytics and services technologies.

  #LI-PFE
 

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