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Tier-1 employer, mid-level experience band, and metro location increase applicant competition.
Core analytics skills are transferable, but pharma HCP/patient engagement preference raises industry specificity.
Explicit 3–5 year requirement plus mandatory Python/R and advanced measurement skills enforce moderate filtering.
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Deliver advanced measurement analyses for omnichannel customer engagement covering field, CRM, paid media, digital and third-party channels using AI and machine learning techniques.
Design and support AI-informed test-and-learn experiments to evaluate engagement strategies and advance measurement frameworks and dashboards.
Collaborate with cross-functional stakeholders to communicate analytical insights, maintain AI-enabled datasets and automate workflows ensuring reproducibility and data governance compliance.
Bachelor’s degree required; advanced degree preferred in data science, analytics, statistics, mathematics, economics, life sciences, computer science, or engineering.
3–5 years professional experience in advanced analytics, decision science, or omnichannel engagement measurement roles, ideally in AI-driven commercial environments.
Proficiency in Python or R for analytical modeling and data transformation.
Work Experience Required: 3–5 years in relevant analytics/measurement roles.
Experience applying advanced statistical and AI/ML techniques like multi-touch attribution, causal inference, uplift modeling in measurement projects.
Demonstrated capability to partner with business stakeholders to deliver actionable insights influencing engagement optimization and commercial decision-making.
Comfortable working in matrixed, cross-functional teams with focus on scalability, governance, and mentoring junior analysts.