We are seeking a Business Intelligence & Analytics Engineer to join our Business Intelligence team. This role partners closely with Finance and cross-functional teams to build and maintain the data infrastructure, pipelines, and reporting layer that power financial planning, forecasting, and performance management. The ideal candidate is comfortable working across the full data stack—from ingestion and transformation to visualization—and brings strong analytical judgment alongside technical depth.
Model N is transforming how Life Sciences companies manage revenue, commercialization, and compliance.
For more than 25 years, Model N has been the leader in end-to-end commercialization, revenue optimization, and compliance for pharmaceutical and medical technology companies.
Our intelligent, cloud-based platform combines technology, data, analytics, AI, and industry expertise to help leading Life Sciences organizations optimize revenue, navigate complex regulations, improve decision-making, and bring life-changing products to market faster.
Today, 150+ leading companies across the globe trust Model N to optimize growth and transform critical commercial processes. Our solutions manage approximately $1.3 trillion in gross revenue, helping customers reduce complexity, strengthen compliance, and unlock new opportunities for growth.
At Model N, we are building the next generation of Life Sciences revenue management—where technology, data, AI, and human expertise come together to create meaningful business impact.
Join us to build technology that powers innovation in Life Sciences and makes a difference at global scale.
For more information, visit www.modeln.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
