Analyst/Senior Analyst/Consultant

Full Time Posted: 6 months ago

Job Description: We’re looking for a detail-oriented and curious professional to join our Commercial Forecasting team. This role supports high-impact forecasting projects and provides opportunities to learn from senior leaders, work with global clients, and develop strong analytical and consulting skills. The ideal candidate is eager to learn, comfortable working with data, and motivated to turn analysis into insights that inform strategic decisions.

Qualifications: 2–4 years of experience in pharma forecasting, analytics, or related data roles (Master’s with 1–4 years; internships or academic projects considered). Familiarity with Excel-based forecasting models and basic SQL for data extraction. Strong attention to detail, with the ability to learn quickly and adapt in fast-paced environments.

Responsibilities: Forecasting Project Support Assist in building and updating forecasting models under the guidance of senior team members. Support development and validation of assumptions, analogs, and scenarios. Contribute documentation of forecasting processes and ensure accuracy of deliverables. Provide analytical support that feeds into client deliverables and presentations. Strategic Insights & Market Analysis Conduct secondary research and gather relevant market/clinical data (e.g., IQVIA, Clarivate, DRG). Help integrate data from multiple sources (secondary, primary, and market knowledge) into forecasts. Contribute to competitive landscape assessments and scenario analyses. Identify key patterns, trends, and early signals that inform business strategy. Work closely with internal teams to align forecasting inputs and assumptions. Support senior consultants in client discussions by preparing analysis and insights. Assist in preparing clear, visually effective presentations and reports for PharmaACE leadership and clients. Ensure consistency and clarity in communicating findings across teams.

Other Competencies: Analytical mindset with eagerness to learn and grow. Ability to support model development and validation with accuracy and attention to detail. Strong written and verbal communication skills. Team-oriented, collaborative approach. Innovation mindset – Drive new analytical approaches and tools that enhance forecasting effectiveness.

Preferred Skills: Exposure to pharma/biotech forecasting or commercial analytics (academic or internship experience acceptable). Awareness of syndicated datasets (IQVIA, Clarivate, DRG) and clinical trial databases. Familiarity with Monte Carlo simulations or interest in learning. Basic exposure to Python, R, or other automation tools (academic, self-taught, or project-based). Interest in AI-enabled tools for reporting, scenario planning, and forecasting.