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Director - Business Intelligence and Analytics
Job in
Secaucus, Hudson County, New Jersey, 07094, USA
Listed on 2026-01-01
Listing for:
Pierre Fabre Pharmaceuticals (USA)
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Join to apply for the Director - Business Intelligence and Analytics role at Pierre Fabre Pharmaceuticals (USA)
Pierre Fabre Pharmaceuticals (USA) provided pay range
This range is provided by Pierre Fabre Pharmaceuticals (USA). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$/yr - $/yr
Additional compensation types
• Annual Bonus
Job Summary
The Director of Business Intelligence and Analytics will play a pivotal and highly visible role shaping commercial strategy and company evolution. This role will be responsible for developing the Analytics Function at PFP, including partnership with outside vendors and internal resources to expand analytic capabilities and operationalize analytics solutions. The Dir/Sr. Director of Business Intelligence and Analytics is responsible for generating actionable insights to inform business decisions enterprise-wide.
The ideal candidate thrives in an entrepreneurial environment, is resourceful, collaborative and brings a strong background in pharmaceutical analytics, insights and forecasting methodologies.
This role will report to the SVP, US Head of Commercial and be a core member of the US Commercial Leadership Team.
ESSENTIAL FUNCTIONS
Data Analytics and Insights
• 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
• Work closely with commercial cross‑functional leadership to drive operational excellence
• 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
• Be seen as a trusted, collaborative, valued member of the commercial leadership team
Forecasting and Modeling
• Own forecasting models for in‑line products and pipeline
• Set reliable processes to collect dispensing data (when applicable) and purchasing data from all class of trades and ensure consolidation of this data for analytical and forecasting purposes
• Support enablement of innovative, efficient omnichannel deployment, defining and tracking KPIs for effectiveness
• Serve as key contributor to Business Development commercial assessments
• Develop scenario planning and sensitivity analysis to support investment decisions and risk management
Required
Education and Experience
• 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.
• Ability to organize, prioritize, meet deadlines, make decisions, and change course of action quickly.
• A bias toward action and outcomes and ability to thrive in a dynamic, fast paced, high‑growth…
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