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Senior, highly specialized omnichannel measurement role in pharma reduces applicant competition despite a strong employer brand.
Requires deep HCP/patient engagement knowledge and pharma measurement experience, limiting cross-industry transferability.
Explicit 10+ years requirement, domain expertise, causal inference and technical Python/Cloud skills make filters strict.
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Develop and execute measurement frameworks for omnichannel customer engagement effectiveness across multiple channels including field, CRM, paid media, owned digital, and third-party.
Design and lead experimentation strategies such as A/B tests and lift studies to optimize engagement tactics and translate insights into actionable recommendations for marketing and field teams.
Mentor junior analysts on advanced analytical methods, maintain high standards in analytics rigor, and contribute reusable measurement frameworks across brands.
Bachelor’s degree in Data Science, Analytics, Statistics, Economics, or related field.
10+ years of experience in advanced analytics or data science with focus on omnichannel engagement measurement across CRM, paid media, digital, and field channels.
Proficiency in Python or R programming for analytical modeling and data transformation; experience with cloud analytics environments like Databricks or Snowflake.
Deep expertise in attribution and impact measurement models including Markov chain, multi-touch attribution, media mix modeling, and causal inference methods.
Experienced in healthcare/pharmaceutical customer engagement, with deep understanding of HCP and patient omnichannel journeys.
Strong analytic operator comfortable designing and implementing complex attribution and causal inference models to drive business decisions.
Ability to work cross-functionally influencing marketing, CRM and activation teams by translating technical insights into clear business recommendations.