Associate Manager – Forecast Modeling and Capabilities null

Job Description

The candidate will lead specific verticals of model and capability developers and help conceptualize, develop, implement, and evolve existing and new forecasting capabilities and frameworks across teams. We are looking for an expert modeller, who has expertise in excel, VBA, Python, and R, and has good exposure in implementing end to end solutions such as simulations capabilities, automated reporting and dashboarding. The ability to relate to the business and incorporate therapeutic specific nuances will be crucial for successful deployment, and strong internal networking/collaboration, and project management skills are important components of success. 

Our Marketing team are passionate about bringing our medicines and vaccines to our customers around the world. Through digital listening and patient analytics, we are able to understand our customers’ needs and strive to provide solutions to meet them.

Responsibilities

• Develop linear and non-linear forecasting models and concepts with minimal guidance and align the requirements with business stakeholders
• Work in HHIAD (Human Health Insights Analytics and Data) cross-functional environment to deliver on advanced new age technology and modelling requirements
• Work closely with the business team to check with the technical specifications identified to align with the business requirements.
• Actively contribute to all elements of model development – concept notes, model development, testing (UAT), model pre-population and rollout
• Continuously innovate and evolve existing offerings to improve performance and quality of deliverables.
• Ensure seamless integration of forecasting models with database structures and intuitive reporting capabilities (Qlik/Power BI/Tableau)
• Actively take up testing, debugging and validating model based on a manual or automated approach
• Perform technical writing and documentation of the modules/codes developed
• Contribute to various automation efforts to drive efficiency gains within the GCAF team

Requirements

• Masters' degree in Computer Science, Mathematics, Statistics or a related field
• 0-3 years experience working with Life Sciences companies in forecasting and/or data & analytics functions within Commercial or Finance
• Working knowledge of developing web-based forecasting platforms, conducting simulations, end-to-end pharmaceutical forecasting is a plus
• Experience with databases and cloud technology (e.g., AWS, Google, Azure) will be a plus
• Expertise in various technologies and capabilities (R, VBA, Excel, Python, Qlik, Spotfire, PowerBI, SQL)
• Strong communication skills and demonstrated ability to deliver working individually or in teams
• Good working knowledge of technical review and implementing industry-standard best practices regarding the development/maintenance of coding modules.
• Strong accountability, problem-solving and collaboration skills