[SSF] Sr Engagement Lead - Analytics

ProcDNA Inc

• $135K — $160K *
Pharmaceuticals & Biotech
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10 years of hands-on experience in pharmaceutical forecasting for both inline and pipeline assets.
  • Strong understanding of key pharma datasets, including LAAD and DDD.
  • Proficiency in building and managing Excel-based forecasting models; experience with advanced tools is a plus.
  • Excellent problem-solving skills to synthesize insights from complex data.
  • Strong communication and client management skills, especially in presenting to senior stakeholders.

Responsibilities

  • Lead forecasting engagements for pharma clients to enhance business performance.
  • Develop and manage forecasting models across various therapy areas for both current and upcoming products.
  • Translate complex datasets and analytical results into actionable business strategies.
  • Collaborate with cross-functional teams to establish assumptions and methodologies.
  • Identify risks and opportunities in forecasts and provide solutions for decision-making.
  • Contribute to the development of internal tools and forecasting accelerators.
Full Job Description
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

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