$ cat jobs/senior-analyst-commercial-analytics-insights-acadia-pharmaceuticals-inc-8369f5ffd5c8.json
Senior Analyst, Commercial Analytics & Insights
About Acadia Pharmaceuticals Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference. Position Summary The Senior Analyst, Commercial Analytics plays a key role in transforming complex healthcare data into actionable business insights that drive brand performance and support strategic decision-making. This individual contributor will partner closely with cross-functional teams including marketing, sales, market access, patient support services, and commercial operations to uncover opportunities, evaluate performance drivers, and improve patient outcomes. The ideal candidate combines strong analytical capabilities with healthcare data expertise and a passion for translating data into meaningful business impact. Primary Responsibilities Analyze and integrate data from multiple sources, including medical claims, prescription data, HUB services, specialty pharmacy, and commercial datasets to identify key business performance drivers Translate business questions into structured analyses that generate actionable insights to inform brand strategy, patient journey optimization, and field execution Develop and maintain KPI dashboards and performance reporting to monitor trends and measure success across the patient journey Partner with cross-functional stakeholders to support strategic initiatives and business decisions Evaluate data quality and identify opportunities to improve data integrity, consisten