Senior Consultant - Forecasting (Hiring on behalf of BMS)

Brief Introduction:

The Senior Consultant - Forecasting is responsible for developing, delivering, and maintaining forecasts (patient-based, TRx-based, etc.) and providing business insights to the commercial stakeholders and leadership.

Responsibilities:

• Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations.
• Create, oversee, and maintain forecasting models and techniques to project sales, demand, and market trends for biopharma products.
• Collaborate with stakeholders to identify business problems, goals, and KPIs to develop analytical frameworks.
• Conduct research and collect real-world data from multiple sources to support business strategies and decision-making.
• Perform statistical analyses, data mining, and predictive modeling to uncover trends and correlations.
• Work closely with cross-functional teams to design and implement digital analytics initiatives and measurement frameworks to optimize marketing campaigns and customer engagement.
• Prepare reports, dashboards, and presentations to communicate findings, insights, and recommendations to stakeholders at various levels of the organization.
• Collaborate with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.
• Stay up-to-date with industry trends, best practices, and emerging technologies.
• Provide training, guidance, and mentorship to junior analysts and team members when required.

Qualifications:

• Bachelors/Masters in Pharma / other life sciences background (Biotechnology, Bioinformatics, etc.) or bachelor’s in engineering / B. Tech or Master’s in Business Administration.
• Minimum 4 years of relevant forecasting and commercial analytics experience. Experience building financial models (e.g., market sizing, sales, and profit forecasts) using Microsoft Excel and other tools.
• In-depth expertise in developing, implementing, and managing holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting) in collaboration with life sciences teams.
• Strong strategic skills including the ability to see the big picture, along with conceptual and out-of-the-box thinking.
• Work experience in the US/European pharma industry is a plus.