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Job Description
Structured overview of role & requirementsAbout This Role
Lead commercial analytics projects involving marketing mix modeling, forecasting, segmentation, and brand/customer performance analysis using Python, R, and SAS.
Manage datasets of varying sizes and select appropriate data processing technologies to deliver insights efficiently.
Present analytical findings and recommendations to global client-facing stakeholders, primarily in Europe and the US.
Minimum Requirements
Proficiency in SAS, R, Python is mandatory; experience with MS Excel, PowerPoint, and data visualization tools like Tableau or Power BI is a plus.
Relevant educational certification or degree in a related field.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to perform advanced analytics techniques such as Hierarchical models, Bayesian Hierarchical models, optimization techniques, RNN, CNN.
Ideal Candidate Profile
Comfortable working with large datasets and selecting appropriate analytic technologies independently.
Experienced in applying advanced statistical and machine learning methods in commercial analytics projects.
Able to coordinate and collaborate across teams to ensure quality control and timely delivery of projects under tight deadlines.
