Job
Description
Role Overview: You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Key Responsibilities: - Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. - Utilize relevant experience in the required domain to analyze data effectively. - Demonstrate strong analytical, problem-solving, and communication skills. - Work in a fast-paced, dynamic environment and collaborate with stakeholders. - Possess knowledge of SQL, R & Python language and at least one cloud-based technology (Azure, AWS, GCP). - Build price/discount elasticity models and conduct non-linear optimization. - Apply state space & mixed-effect modeling techniques and optimization algorithms to industry data. - Experience in AI capability migration from one cloud platform to another and managing documentation of data models, architecture, and maintenance processes. - Understand econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization techniques using statistical packages like R, Python, SQL, PySpark. - Proficiency in Excel, MS Word, PowerPoint, etc. - Maintain strong client communication for effective collaboration. Qualifications Required: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Knowledge of SQL, R & Python language and at least one cloud-based technology (Azure, AWS, GCP). - Ability to work in a fast-paced, dynamic environment. - Experience in building price/discount elasticity models, conducting non-linear optimization, and applying state space & mixed-effect modeling techniques. - AI capability migration experience from one cloud platform to another. - Understanding of econometric/statistical modeling and analysis techniques with proficiency in statistical packages like R, Python, SQL, PySpark. - Proficiency in Excel, MS Word, PowerPoint, etc. - Strong client communication skills. Please note: - Opportunity to work on innovative projects. - Career growth and leadership exposure.,
