[SD]- Engagement Lead- Analytics

About ProcDNA

ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What we are looking for

We are seeking an Engagement Lead-Analytics to join our team-someone with a strong understanding of the pharmaceutical industry and detailed knowledge of datasets such as LAAD, DDD, and XPO. You thrive on working with complex data sets to solve real-world problems and can translate insights into actionable business strategies. In this role, you will be responsible for driving business performance, identifying and navigating risks, and developing pragmatic, data-driven strategies that deliver tangible impact.

What you will do

• Lead forecasting engagements for pharma clients, driving business performance through robust, data-driven insights.
• Develop and manage forecasting models for in-line and pipeline assets across multiple therapy areas.
• Translate complex datasets and analytical findings into actionable business strategies and recommendations. Collaborate with cross-functional client and internal teams to align on assumptions, scenarios, and methodologies.
• Identify potential risks and opportunities impacting forecasts and deliver solutions to support decision-making. Contribute to building internal assets and forecasting accelerators

Must Have

• 5-7 years of hands-on experience in pharmaceutical forecasting (inline and pipeline assets).
• Strong understanding of key pharma datasets such as LAAD and other secondary data sources.
• Proficiency in building and managing Excel-based forecasting models; exposure to advanced forecasting tools is a plus.
• Excellent problem-solving skills with the ability to synthesize insights from complex data sets.
• Strong communication and client management skills, with experience presenting insights to senior stakeholders.