Senior Pharma Forecasting & Analytics Project Lead

PharmaACE; Lisboa; On-site; EUR 90,000 - 120,000; Full time

Job summary

PharmaACE in Lisbon, Portugal, is seeking a Project Manager to coordinate forecasting, market research, market access, and cross-functional projects for global pharmaceutical clients. You will manage client relationships, guide project execution, and present insights to stakeholders.

You will leverage strong quantitative and qualitative analysis, work with IQVIA/Symphony datasets, and develop data-driven recommendations using Excel, SQL, R, Tableau, SAS and Visual Basic.

Qualifications

• 8+ years of forecasting and commercial analytics experience.
• Experience building financial models (market sizing, sales, and profit forecasts) using Excel.
• In-depth expertise in developing, implementing, and managing holistic modelling strategies with life sciences teams.

Responsibilities

• Provide forecasts, analysis and actionable insights for global pharma clients.
• Manage and coordinate complex consultancy engagements with client and people management.
• Present information and insights in presentable reports (PowerPoint/ Word/ Excel).
• Proactively identify business challenges and design research objectives and methodologies.
• Develop and apply advanced statistical models using Excel, SQL, R, Tableau, SAS and Visual Basic.
• Support PharmaACE’s consulting operations in Portugal and contribute to go-to-market strategies.

Skills

Forecasting

Commercial analytics

Project management

Client management

Data analysis

Quantitative methods

Communication

Education

Pharma/life sciences degree (Bachelor/Master)

Engineering / MBA

Tools

SQL

R

Tableau

SAS

Excel

Visual Basic

PowerPoint

Job description

PharmaACE in Lisbon, Portugal, is seeking a Project Manager to coordinate forecasting, market research, market access, and cross-functional projects for global pharmaceutical clients. You will manage client relationships, guide project execution, and present insights to stakeholders.

You will leverage strong quantitative and qualitative analysis, work with IQVIA/Symphony datasets, and develop data-driven recommendations using Excel, SQL, R, Tableau, SAS and Visual Basic.