The Manager / Senior Manager - Business Intelligence (Forecast & Analytics) role offers the opportunity to play a key part in driving data-driven decision-making within a global pharmaceutical organisation. This position combines forecasting and commercial analytics responsibilities, leading the transformation of traditional forecasting approaches into AI-driven models while delivering strategic insights that support business growth and operational excellence.
Responsibilities
Forecasting (FCST)
Build forecast models for existing and new products and create short-term to long-term (up to 10 years) revenue forecasts.
Submit forecast data for annual planning and long-range strategic planning in collaboration with cross-functional stakeholders.
Manage SKU demand forecasts in collaboration with the supply chain team, ensuring forecast accuracy, inventory optimisation, and leadership of monthly demand review meetings.
Track key performance indicators including market performance, market share, and inventory levels, contributing to monthly management reporting.
Evaluate existing spreadsheet-based statistical forecast models and lead the phased transition and redevelopment into machine learning and AI-based models.
Integrate generative AI tools into forecasting activities, including data collection, model development, and reporting, to enhance productivity and output quality.
Commercial Analytics (CAT)
Conduct consumer and patient analysis and apply findings to disease awareness initiatives and patient engagement strategies.
Measure media effectiveness using AI models, marketing mix modelling (MMM), attribution analysis, and related methodologies.
Analyse the patient journey from disease awareness and diagnosis through treatment initiation and medication adherence, identifying key opportunities for improvement.
Perform pipeline product and brand performance analysis and translate insights into brand and affiliate strategies.
Generate actionable insights from integrated datasets, including market and prescription data, consumer panel data, POS data, and digital behavioural analytics.
Partner with cross-functional teams to develop AI models, dashboards, and reporting solutions.
Requirements
Essential
Minimum 2 years of practical experience in analytics, financial analysis, consulting, or a comparable quantitative discipline.
Experience within the consumer goods industry.
Strong numerical and analytical skills with the ability to structure complex and large datasets into meaningful frameworks and actionable insights.
Strong interest in AI and digital technologies, with the ability to experiment with and apply new tools to improve and automate business processes.
Intermediate to advanced proficiency in Microsoft Excel and PowerPoint.
Positive, adaptable, and open-minded leadership approach with the flexibility to thrive in a changing environment.
Preferred
Experience using generative AI tools such as Claude, ChatGPT, or Copilot in a business environment, or proven experience driving AI adoption within teams.
Hands-on experience in data analysis, modelling, and automation using Python, R, SQL, or similar technologies.
Practical knowledge of statistics, predictive modelling, and machine learning techniques, including regression, time-series analysis, and clustering.
Experience participating in or leading AI-driven model transformation and redesign projects.
Experience developing dashboards using Tableau, Power BI, or similar business intelligence platforms.
Experience leading digital transformation initiatives across business functions.
Knowledge of forecasting software such as SAS, Forecast Pro, or proprietary forecasting platforms.
Project management experience.
MBA, PhD, or equivalent postgraduate qualification.
Experience working with global teams and stakeholders.
Benefits
Comprehensive insurance coverage
About the Company
A company in the pharmaceutical industry, this organisation is a global research-driven healthcare business with a strong focus on innovation and scientific advancement. Through extensive research capabilities and collaboration with external scientific institutions, it develops a broad portfolio of medicines across multiple therapeutic areas to address healthcare needs worldwide.