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Strong employer brand, metro location, generic analyst title, and entry-level role drive high applicant competition.
Core analytics and programming skills are transferable, but pharma domain knowledge adds sensitivity.
Mandatory technical skills (SAS/R/Python) increase filtering, but no explicit years requirement.
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Handle commercial analytics projects including marketing mix, forecasting, segmentation, customer and brand performance analytics using Python, R, and SAS.
Conduct analyses such as promotional ROI, resource and price optimization, and physician/patient profiling across global clients primarily in Europe and the US.
Manage datasets efficiently; select appropriate tools like Excel, SAS, Python; deliver presentations of findings/recommendations; coordinate within teams to ensure quality and timely project delivery.
Relevant educational certification or degree in a related field.
Proficiency in SAS, R, Python is mandatory; MS Office skills including Excel and PowerPoint required; experience with data visualization platforms like Tableau or Power BI is a plus.
Ability to perform advanced analytics including hierarchical and Bayesian models, optimization techniques, RNN, CNN.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical skills in multiple analytics tools and programming languages aligned to healthcare commercial analytics.
Comfortable working on diverse projects involving large datasets and advanced modeling techniques in a client-facing environment.
Experience or readiness to operate in global projects focusing on marketing, forecasting, and optimization within life sciences or healthcare sectors.