Summary
-Provide analytics support to Novartis internal customers (CPOs Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials.
About the Role
Key Responsibilities
- Provide analytics support to Novartis internal customers on various high complexity analytical reports.
- Working knowledge of multiple datasets e. g. LAAD, Xponent, SMART etc and managing and organizing data sets from databases to find patterns and trends in data.
- Transforming these complex and granular data into actionable insights.
- Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools.
- Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus.
- Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial.
- Establish and maintain positive relationships with key functional stakeholders.
- Takes initiative to drive standardization of reports across brands.
Essential Requirements :
- Masters/ bachelors in technology/ life-sciences/ management
- Minimum of 2 + years experience processing and analyzing real world patient level data (Claims data/EHR etc , ).
- Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus.
- Understanding of healthcare terminology and real-world patient level data
- Good communication and interpersonal skills. Conceptual, analytical tactical thinking, strategic thought process
Desired Requirements :
- Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance.
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