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Strong employer brand, generic analyst title, Bangalore metro, and broad analytics skillset increase candidate competition.
Analytics skills transfer, but healthcare data and consulting context require domain familiarity.
Mandatory SAS/R/Python and analytics methods raise filtering, though no strict years requirement.
Handle commercial analytics projects including marketing mix, forecasting, segmentation, decision tree, and brand performance analysis using Python, R, and SAS.
Manage datasets efficiently, choose appropriate technologies for data processing, and serve as an analytics technology champion within the team.
Present findings and recommendations to global client-facing stakeholders, mainly in Europe and the US, supporting marketing and optimization analyses like ROI and profiling.
Relevant educational certification or degree in a related field.
Proficiency in SAS, R, Python, and MS Office applications including Excel and PowerPoint is mandatory; experience with data visualization tools like Tableau or Power BI is a plus.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to handle large datasets and perform advanced analytics such as hierarchical models, Bayesian hierarchical models, optimization techniques, and neural networks (RNN, CNN).
Comfortable working on client-facing analytics projects involving commercial and marketing data, targeting global stakeholders.
Experienced with multiple analytical technologies and able to select appropriate tools for different data processing needs.
Able to perform and understand advanced statistical and machine learning models relevant to healthcare and marketing analytics.