[SD]- Engagement Lead- Analytics - ProcDNA
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.
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 450+ across 9 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 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
- 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.