Key Responsibilities:

Customer and Commercial Analytics

• Lead the development of advanced customer segmentation, targeting, and profiling strategies across HCPs, institutions, and payers.
• Translate large and complex data sets (including specialty pharmacy data, claims, EMR, CRM, and third-party sources) into actionable business insights.
• Analyze the effectiveness of field force engagement strategies and commercial initiatives; provide recommendations for optimization.
• Translate customer trends into sales and revenue forecasts.

Data Strategy and Execution

• Partner with cross-functional teams (Commercial, Market Access, Patient Services, IT, and Data Engineering) to ensure data integrity, accessibility, and alignment with business objectives.
• Define requirements and partner with vendors or internal IT teams to enhance data pipelines, dashboards, and self-service analytics tools.
• Ensure analytical rigor in KPI tracking, reporting, and business performance reviews.

Rare Disease Market Understanding

• Understand the unique dynamics of rare disease markets, including small patient populations, diagnostic challenges, and specialized distribution models.
• Develop and maintain models to support forecast accuracy, patient funnel analysis, and therapy uptake patterns.

Cross-Functional Collaboration

• Serve as a trusted analytics partner to senior commercial leadership, brand teams, and field operations.
• Present findings and recommendations to leadership and cross-functional teams in a clear and impactful manner.
• Collaborate with compliance and legal teams to ensure data use aligns with regulatory standards.

Qualifications:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics); advanced degree (MS/PhD/MBA) preferred.
• 8+ years of experience in data analytics, preferably in the pharmaceutical or biotechnology industry.
• Strong experience with healthcare data sources such as IQVIA, Symphony, specialty pharmacy distribution data, claims, EMR, and/or lab data.
• Proficiency in data analysis tools and languages (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI).
• Familiarity with CRM systems (e.g., Veeva, Salesforce) and their role in field force effectiveness.
• Excellent problem-solving skills, business acumen, and the ability to communicate complex findings to non-technical stakeholders.
• Experience working in or supporting rare disease or specialty markets is strongly preferred.

If you’re the right fit, please submit your resume or CV using the email link below.

Apply