Senior Analyst, US Customer Engagement Measurement & Insights

Own end-to-end measurement analyses of omnichannel customer engagement using advanced statistical and AI/ML methods to assess effectiveness and inform optimization.

Support design and execution of AI-enabled test-and-learn experiments including A/B tests and lift studies, providing actionable insights to stakeholders.

Build and maintain measurement frameworks, KPI tracking tools, dashboards, and automated workflows for scalable analytics delivery aligned with commercial strategy.

Bachelor's degree required; advanced degree preferred in data science, analytics, statistics, mathematics, economics, life sciences, computer science, or engineering.

3–5 years of professional experience in advanced analytics, decision science, or omnichannel engagement measurement, preferably in AI-driven commercial settings.

Proficiency in Python or R for analytical modeling; experience with attribution methods like multi-touch attribution and causal inference techniques (preferred).

Work Experience Required: 3–5 years in relevant analytics roles; Location/Notice Period: Not explicitly mentioned in the JD.

Experienced in pharmaceutical, biotech, or healthcare analytics environments with a focus on omnichannel customer engagement measurement.

Proven ability to collaborate with cross-functional commercial, digital, and technology teams, communicating complex analytics to technical and non-technical audiences.

Comfortable working in matrixed, stakeholder-driven environments with responsibility for scalable, reproducible analytics solutions and mentoring junior analysts.