Senior Manager, Data Analytics & Reporting
Company Name:-
SAGE Therapeutics
Job Location:-
Cambridge, MA
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionSage Therapeutics is looking for a creative, resourceful, integrative thinker for an important role that is responsible for defining, delivering, and maintaining advanced Analytics capabilities to support decision-making and insights generation in Global Medical Affairs department (GMA).
This position will report to the Sr.
Dir.
Strategic Planning and Operations in Global Medical Affairs and will work closely with Medical Affairs team members, leadership, and IT business partners.
Build a strong and thorough understanding of GMA goals, functions, challenges, and key analytical needs
Work with relevant stakeholders to define relevant analytics initiatives with a clear business objective, scope, and tangible outcomes
Ensure alignment of relevant functional and technical resources to deliver expected analytical capabilities, including internal systems and platforms
Deliver directly or with the help of vendors or IT these capabilities, evaluate them and refine them as needed
Guide your customers through the interpretation of analytical outputs, collect feedback and recommend improvements
Roles and Responsibilities (Essential Functions)
Analytical capabilities:
Descriptive analytics in the form of KPIs and metrics delivered via dashboards and reports
Advanced analytics capabilities relevant to GMA needs (to be determined in collaboration with relevant GMA groups)
Monitor technology advancements, software vendors offering and best practices to recommend relevant data science solutions.
Identify relevant vendors who can support our initiatives, evaluate their offering, manage the vendor selection process and manage vendors once selected.
Technical/Functional (Line) Expertise
Strong experience in the field of data science:
Methodology for translating a business problem into a data science project
Ability to design and refine analytical models
Tools and languages examples: SQL, R, Python, data visualization tools (e.
g Qlik, Tableau, PowerBI), SPSS, SAS
Comfortable with general statistics concepts
Previous experience in analytics / data science applied to biopharmaceutical field.
Ability to translate business challenges or questions into analytical approaches, in order t
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