- Location
- Jersey City, New Jersey, United States · published · New York, New York, United States
- Type
- Full-time
- Department
- IT
- Seniority
- Lead
- Source
- Workable
Description
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are looking for a Lead – Pharma Commercial Analytics with strong experience in US pharmaceutical commercial analytics and consulting. The ideal candidate will lead commercial intelligence initiatives, translate complex healthcare data into actionable business insights, and support strategic decision-making through analytics.
This role requires expertise in HCP and account analytics, brand performance, customer segmentation, and prescription and claims data, along with the ability to engage stakeholders and deliver executive-level insights.
Responsibilities:
- Lead commercial analytics initiatives focused on brand performance, HCP engagement, and account-level performance.
- Develop and execute customer segmentation, targeting, and opportunity assessment strategies.
- Analyze prescription (Rx) and claims data to identify trends, growth opportunities, and performance gaps.
- Conduct root cause analysis (RCA) to investigate business performance and recommend actionable solutions.
- Manage and validate commercial data, ensuring accuracy, consistency, and reliability of insights.
- Analyze account hierarchies and customer relationships to support commercial strategy and execution.
- Deliver ad hoc analytics to address evolving business needs and stakeholder priorities.
- Translate complex analytical findings into clear, actionable recommendations for senior leadership.
- Collaborate with cross-functional stakeholders to drive commercial intelligence initiatives and ensure operational readiness.
- Support knowledge transition, stakeholder alignment, and ongoing delivery within a managed services engagement.