Associate Director, Brand Analytics & Forecasting

Role & Responsibilities:
- Own patient-based and demand forecasting models for assigned brand(s) across in-line and long-range horizons.
- Maintain forecasting methodology (scenario planning, sensitivity analysis, risk-adjusted forecasting).
- Partner with Commercial and Finance on performance tracking, KPI dashboards, and business review analytics.
- Use patient-level analytics (line of therapy, patient journey, new vs. continuing, switching, persistence, adherence) to identify growth drivers, risks, and opportunities.
- Collaborate with cross-functional analytics/data teams to apply the most relevant data sources and assumptions.
- Lead variance and root-cause analyses; reconcile patient, sales, and audit perspectives into a single brand-performance truth.
- Manage forecasting vendors/consultants as needed; mentor junior analysts.

Qualifications:
- Bachelor’s degree in a quantitative/business/related field; MBA or MS preferred.
- 8+ years in pharma/biotech commercial analytics with brand analytics and/or forecasting.
- Experience with pharmaceutical demand and patient-based forecasting methodologies.
- Experience with syndicated/patient-level data (e.g., IQVIA NPA/NSP, LAAD, DDD, Xponent), claims, and specialty pharmacy data.
- Proficiency in SQL and at least one statistical platform (SAS, R, or Python); Power BI or Tableau.

Preferred:
- Specialty/rare disease brand experience (ideally launch).
- Hands-on forecast/analytics development to track performance.
- Leadership presentation development.
- Mentoring/managing junior analysts.

Application:
- Submit via the Madrigal Careers site on an ongoing basis.