Reference #: 4796
OverviewIncyte 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 health care, 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.
Essential Functions of the Job(Key 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
Qualifications (Minimal acceptable level of education, work experience, and competency)
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)
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
Learn more at: http://www.incyte.com/privacy-policy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objectiv criteria required by the job. You can learn more about this process here.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
You can learn more about Incyte's data protection practices here. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte's data protection officer, and your supervisory authority (if applicable).
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.We appreciate, celebrate, and thrive on one another's differences and strengths and are proud to be an Equal Opportunity Employer. By valuing diversity of backgrounds and perspectives and prohibiting all forms of harassment, we are able to promote a collaborative and innovative work environment in which everybody can contribute to their fullest potential.
