[SSF] Sr 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.
• We're a passionate team of 150+ across 6 offices, all growing and learning together since our launch during the pandemic.
• Here, you won't be stuck in a cubicle - you'll 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 a Senior 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’ll do ▪Lead forecasting engagements for pharma clients, driving business performance through robust, data-driven insights. ▪ Develop and manage forecasting models for inline 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 ▪ 8–10 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