Data Science Industrialization, Analytics Engineer

Join Pfizer Digital's Artificial Intelligence, Data, and Analytics organization (AIDA) as an Analytics Engineer, contributing to the development of industrialized analytic data and code assets, and working on data pipelines, feature creation, and performance optimization.

Requirements

• Bachelor's degree in analytics engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
• 2+ years of work experience as an analyst/analytics engineer
• Hands-on skills in analytics engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
• Experience working with various types of data (structured / unstructured)
• Understanding of data ingestion, data warehousing, and data model concepts
• Knowledge of relational and dimensional data structures, theories, and practices
• Highly self-motivated to deliver both independently and with strong team collaboration
• Ability to creatively take on new challenges and work outside comfort zone
• Strong English communication skills (written & verbal)

Benefits

• Breakthroughs that change patients' lives
• Diversity and inclusion
• Flexible work location assignment
• Patient centric culture
• Trusting and flexible workplace culture
• Digital transformation strategy