Back
Tier-1 brand, generic analyst title, metro location, and broad technical requirements increase competition.
Role requires life-sciences analytics and consulting familiarity, moderately limiting cross-industry transferability.
Mandatory SAS/R/Python proficiency and analytics methods impose moderate candidate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage commercial analytics projects including marketing mix, forecasting, segmentation, and brand performance using Python, R, and SAS.
Conduct analyses such as promotional ROI, resource and price optimization, and customer profiling across global clients mainly in Europe and US.
Work with small and large datasets efficiently, selecting appropriate analytics technologies, and present findings and recommendations to business stakeholders.
Proficiency in SAS and R or Python is mandatory; knowledge of data visualization platforms like Tableau or Power BI is a plus.
Relevant educational certification or degree in a related field.
Ability to perform advanced analytics such as Hierarchical and Bayesian models, Linear & Non-Linear Optimization, RNN, CNN.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or interest in healthcare/life sciences analytics and commercial insights for global client support.
Capable of handling multiple projects with tight turnaround times and coordinating QC within teams.
Comfortable working with proprietary databases and applying consulting methods and techniques in analytics projects.