Back
Strong employer brand, mid-level generalist analytics title, and metro location increase competition.
Analytics skills are transferable across industries, though pharmaceutical commercialization experience is preferred.
Explicit 3+ years analytics requirement and domain experience produce moderate shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Independently deliver advanced analytics and AI-enabled insights to support US Commercial brand strategy, omnichannel engagement, and resource allocation within agreed timelines.
Partner with US Commercial stakeholders and cross-functional teams to translate business needs into analytical solutions and actionable recommendations, supporting decision-making and priority setting.
Build and maintain analytical assets including datasets, models, dashboards, and automation workflows; mentor junior analysts and contribute to team capability building.
Bachelor's degree required; advanced degree in life sciences, computer science, mathematics, statistics, data science, or engineering preferred.
3+ years professional experience in advanced analytics, decision science, or AI-driven roles.
Proven ability to deliver end-to-end analytics projects and partner with business stakeholders to support data-driven decision making.
Work Experience Required: 3+ years in relevant analytics or AI roles.
Strong applied statistics and AI/ML skills with hands-on experience in Python and/or R, including predictive analytics and text analytics techniques.
Experience with omnichannel commercial and digital marketing analytics in pharmaceutical, biotech, or healthcare sectors preferred.
Capable of operating independently on complex analytics projects and effectively communicating insights to diverse stakeholders in a matrixed environment.