Develop and deliver analytic ready data sets and reports to key clients across R&D.
Work with a collaborative analytic data and metrics team, and partner effectively inside and outside the team to gather requirements for analytic ready datasets, leverage existing systems and data sources to optimal, timely and accurate deliverables.
Deliver integrated analytic ready datasets, our ideal candidate will contribute to data-driven insights across the enterprise that can lead to optimized processes, increased productivity and improve speed of new medicines to patients in need.
Uses several different reporting technologies and and data science skills to create, run, deliver and optimize analytic ready datasets for analyst colleagues and functional partners across the R&D organization
Build or enhance reports and dashboards based on user and analytic requirements.
Conduct data ingestion, data profiling, data cleansing, and data integration
Provides Business Intelligence (BI) Tools end user assistance
Bachelor’s degree required, ideally with focus in data science or analytic fields
US military experience will be considered towards industry experience requirements
3 years experience preferably in a pharmaceutical, life science, or healthcare related industry
Experience with Informatica and IDS Developer and Analyst tools is a plus
Working knowledge of relational databases, such as Oracle, SQL Server, and or PL/SQL
Working with managed analytics environment like Domino ( using Pythn/R/SAS) is preferred
Familiarity with provisioning data to Business Information applications including Cognos, Oracle, Informatica, Spotfire, Tableau, etc
Data query and combination application experience
Understanding of basic project management and system life cycle
Skilled in excel
Working knowledge of data reporting best practices and standards
Experience with data dictionaries, database tools, data profiling, data cleansing, and business rules
Experience working directly with stakeholders for requirements gathering
General understanding of scientific R&D processes and terminologies