[SD]- Engagement Lead- Analytics

ProcDNA; San Diego (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

ProcDNA is seeking an Engagement Lead-Analytics to drive forecasting engagements for pharmaceutical clients, translating complex data into actionable business strategies. You will manage Excel-based models, collaborate with cross-functional teams, and identify risks and opportunities to improve performance.

Ideal candidates have 5–7 years of pharma forecasting experience, a strong grasp of LAAD datasets, and excellent communication with senior stakeholders across multiple therapy areas.

Qualifications

• 5–7 years of hands-on pharma forecasting experience.
• Strong understanding of LAAD and secondary pharma data sources.
• Proficiency in building and managing Excel-based forecasting models.
• Excellent problem-solving and data synthesis abilities.
• Strong client management and senior stakeholder communication skills.

Responsibilities

• Lead forecasting engagements for pharma clients with data-driven insights.
• Develop and manage forecasting models for inline and pipeline assets.
• Translate findings into actionable business strategies for cross-functional teams.
• Identify risks/opportunities and contribute to forecasting accelerators.

Skills

Pharma forecasting

Data analysis

Excel modeling

Client management

Communication

LAAD datasets

Tools

Excel

Forecasting tools

Job description

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

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.