Job
Description
Role Overview: You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions in merchandising analytics. Key Responsibilities: - Provide strategic advisory services and conduct market research to develop data-driven recommendations for enhancing business performance. - Possess relevant experience in the required domain with strong analytical, problem-solving, and communication skills. - Work in a fast-paced, dynamic environment and have knowledge of SQL, R & Python language, at least one cloud-based technology (Azure, AWS, GCP), price/discount elasticity models, non-linear optimization, state space & mixed-effect modeling techniques, optimization algorithms, and AI capability migration. - Manage documentation of data models, architecture, and maintenance processes while having an understanding of econometric/statistical modeling and analysis techniques. - Be proficient in Excel, MS word, PowerPoint, etc., and have strong client communication skills. Qualifications Required: - Relevant experience in merchandising analytics. - Strong analytical, problem-solving, and communication skills. - Knowledge of SQL, R & Python language, and at least one cloud-based technology (Azure, AWS, GCP). - Experience in building price/discount elasticity models, non-linear optimization, state space & mixed-effect modeling techniques, and AI capability migration. - Proficiency in econometric/statistical modeling and analysis techniques, as well as statistical packages such as R, Python, SQL, PySpark. - Proficient in Excel, MS word, PowerPoint, etc. Role Overview: You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions in merchandising analytics. Key Responsibilities: - Provide strategic advisory services and conduct market research to develop data-driven recommendations for enhancing business performance. - Possess relevant experience in the required domain with strong analytical, problem-solving, and communication skills. - Work in a fast-paced, dynamic environment and have knowledge of SQL, R & Python language, at least one cloud-based technology (Azure, AWS, GCP), price/discount elasticity models, non-linear optimization, state space & mixed-effect modeling techniques, optimization algorithms, and AI capability migration. - Manage documentation of data models, architecture, and maintenance processes while having an understanding of econometric/statistical modeling and analysis techniques. - Be proficient in Excel, MS word, PowerPoint, etc., and have strong client communication skills. Qualifications Required: - Relevant experience in merchandising analytics. - Strong analytical, problem-solving, and communication skills. - Knowledge of SQL, R & Python language, and at least one cloud-based technology (Azure, AWS, GCP). - Experience in building price/discount elasticity models, non-linear optimization, state space & mixed-effect modeling techniques, and AI capability migration. - Proficiency in econometric/statistical modeling and analysis techniques, as well as statistical packages such as R, Python, SQL, PySpark. - Proficient in Excel, MS word, PowerPoint, etc.
