Director of Business Intelligence and Analytics at Pierre Fabre shaping commercial strategy and developing analytics functions. Key responsibilities include data insights, forecasting, and market research.
Responsibilities
Play a pivotal and highly visible role shaping commercial strategy and company evolution
Develop the Analytics Function at PFP, including partnership with outside vendors and internal resources to expand analytic capabilities and operationalize analytics solutions
Generate actionable insights to inform business decisions enterprise-wide
Collaborate with PFP LT to align analytics initiatives with overall business priorities
Partner with SVP, Commercial to develop data and insights strategy plus required infrastructure to support superior business performance
Oversee the collection, analysis, and interpretation of sales data to identify trends, opportunities, and areas for improvement
Create and present comprehensive reports and dashboards to communicate insights and recommendations to stakeholders
Utilize data sources and innovative approaches to identify patients at different stages of their journey
Lead the design, execution, and analysis of primary and secondary market research to provide differentiated insights and subsequent recommendations for brand strategy and customer segmentation
Partner collaboratively with other commercial stakeholders to effectively implement data and insights recommendations leading to measurable impact
Own forecasting models for in-line products and pipeline
Develop scenario planning and sensitivity analysis to support investment decisions and risk management
Requirements
Bachelor’s degree in Business, Economics, Marketing, Data Science, or related field; Master’s or MBA preferred
Minimum 10+ years in data analytics, forecasting or commercial strategy within the pharmaceutical or life sciences industry
Experience with commercial build or scaling of Analytics function strongly preferred
Demonstrated track record of leading cross-functional initiatives and delivering measurable business impact
Fluency with various industry data sources, such as patient claims data, patient longitudinal data, RWD, etc
Experience utilizing complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers)
Experience in rare disease analytics or patient-finding programs that supported commercial launches
Expertise with forecasting tools
Familiarity with patient journey mapping and HCP engagement strategies.
Strong communication skills to effectively present complex analytical findings to non-technical stakeholders
Demonstrated ability to solve complex business problems using data-driven approaches
Strong team player, with high emotional intelligence and demonstrated ability to work productively with diverse commercial teams
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