Data Analytics Manager

About the position

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in healthcare, and build sustainable value. The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules. The Data Analytics Manager is a data analytics technical expert with strong leadership skills. This role will lead projects, manage development teams of contractors, and engage business/IT stakeholders to ensure success.

Responsibilities

• Accountable for end-to-end delivery of data analytics solutions using Microsoft Fabric + Power BI.
• Design technical solutions based on business requirements in alignment with IT architecture standards and processes.
• Design relational models developing semantic relationships between tables and entities based on requirement gathering and interaction with stakeholders.
• Convert business requirements and problem statements into actionable code delivering ETL/ELT data transformation, using notebook-based development using PySpark.
• Work closely with group of developers and data engineers to develop, troubleshoot and validate code, models and PowerBI data products.
• Lead technical project delivery teams consisting of data/Bi engineers including assigning work, tracking progress, and providing technical guidance.
• Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process.
• Negotiate project scope, cost, timeline, and changes with business and IT stakeholders.
• Take functional ownership of a specific business area (e.g. Clinical, Corporate Functions, etc).
• Identify and lead continuous improvement activities related to new technologies and business process within Data Products & Analytics department.

Requirements

• High School Diploma required: Bachelor's Degree preferred.
• Technical expertise in both Power BI and cloud Data Lake/Lakehouse technology (Microsoft Fabric is preferred, but Databricks or equivalent will be considered).
• Strong experience designing data models in the context of a data lake platform, including the implementation of medallion architecture.
• Coding proficiency in PySpark and experience with Git-based version control and CI/CD.
• Experience with delivering projects in adherence with IT and team standards. Experience designing and implementing design standards is a plus.
• Experience leading data analytics projects and technical teams. Direct people management experience is a plus.
• Experience engaging with business and IT stakeholders.
• Relevant subject matter expertise in relevant business areas (e.g. Clinical Trials, Clinical Operations, Technical Operations) and source system types (e.g. SAP, Veeva, CTMS, PPM)