Lead Data Scientist - Pharma Commercial Analytics

Tiger Analytics

New York (NY)

On-site

USD 150,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

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Job summary

Tiger Analytics in New York is seeking a Lead - Pharma Commercial Analytics with strong experience in US pharmaceutical analytics to lead commercial intelligence initiatives and translate healthcare data into actionable business insights.

You will engage stakeholders, manage Rx and claims data, and deliver executive‑level recommendations to guide strategic decisions within a consulting environment.

Qualifications

  • 10–15 years overall experience with at least 7 years in pharmaceutical commercial analytics.
  • Strong experience in US pharma commercial analytics and data interpretation.
  • Expertise in HCP and account analytics, brand performance, segmentation and targeting.
  • Hands-on experience with Rx and claims data analytics.
  • Experience with RCA, opportunity assessment and data validation.
  • Strong analytical problem‑solving and ability to generate executive insights.
  • Excellent communication and stakeholder management skills.
  • Experience in a consulting or client‑facing analytics environment.

Responsibilities

  • Lead commercial analytics initiatives focused on brand performance and account-level outcomes.
  • Develop and execute customer segmentation, targeting and opportunity assessment strategies.
  • Analyze Rx and claims data to identify trends and growth opportunities.
  • Conduct root cause analysis and recommend actionable solutions to improve performance.
  • Manage and validate commercial data ensuring accuracy and reliability of insights.
  • Analyze account hierarchies and customer relationships to support strategy and execution.
  • Deliver ad hoc analytics to address evolving business needs and stakeholder priorities.
  • Translate findings into clear, actionable recommendations for senior leadership.
  • Collaborate with cross‑functional stakeholders to drive commercial intelligence and ensure readiness.
  • Support knowledge transfer and ongoing delivery within a managed services engagement.

Skills

Pharma analytics
Commercial analytics
HCP analytics
Account analytics
Brand performance
Segmentation
Rx data
Claims data
Executive insights
Stakeholder management

Job 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
Requirements
  • 10-15 years of overall experience, including at least 7 years in pharmaceutical commercial analytics
  • Strong experience in US pharma commercial analytics and commercial data interpretation
  • Expertise in HCP and account analytics, brand performance, segmentation, and targeting
  • Hands‑on experience with prescription (Rx) and claims data analytics
  • Experience in root cause analysis, opportunity assessment, and commercial data validation
  • Strong analytic problem‑solving skills and the ability to generate executive‑level insights
  • Excellent communication and stakeholder management skills
  • Experience working in a consulting or client‑facing analytics environment
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast‑growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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