Create and deliver Forecasting solutions to Sandoz Internal Customers.
Support data-enabled decision-making by providing qualitative and quantitative analytics.
Drive design and enhancement of existing services/processes/deliverables (quality, productivity, value).
Closely interface with customers to understand and convert business requirements into solutions.
Provide appropriate documentation and communication throughout the delivery of services.
Support in creation and maintenance of knowledge repositories/catalogues, SOPs, and quality checklists.
Participate, lead, and design various knowledge-sharing sessions and training sessions.
Build and support functional and organizational business objectives and strategy.
Comply with all Sandoz operating procedures as per legal/IT/HR requirements.
Adhere to Sandoz values and behaviors: Team up to break barriers, Be ambitious as our purpose, Lead by example, and Be open-minded.
Essential Requirements:
Conduct bottom-up forecasts using internal data, IQVIA, and/or local databases for Region Europe countries.
Implement forecast accuracy KPIs to track forecast changes.
Collaborate with cross-functional teams to gather data, validate inputs, and ensure forecast accuracy and consistency.
Support multiple markets including Region, Clusters, and/or Countries, including forecast creation/review, portfolio analysis, and portfolio database maintenance.
Integrate information from different internal and external data sources available and support the maintenance of portfolio databases.
5-7 years of relevant experience in Epi-based forecasting for Inline, Pipeline, and BD&L Products/Brands and Trend-Based Forecasting.
Deeper understanding of disease and Therapy Area and its application to forecasting.
Experience in managing data, analyzing trends, and utilizing quantitative analytic techniques to generate insights and refine forecast catalogues.
Application of EU Market Access, Healthcare, and Price & Reimbursement policies for forecast development.
Deep understanding of Secondary Research to support and validate assumptions made in the forecast development.
Expertise in handling datasets - IQVIA, Evaluate, IPD, DRG, etc.
Effective forecast storyboarding, gathering key insights backed by relevant data.
Utilize Data and Quantitative Analytics, conduct Business Analysis, and perform Analog Analysis to drive forecast accuracy.
Support the team in proposal writing and managing complex business problems.
