Senior Manager - Data Analytics

Role Overview: You will work closely with teams across the company to understand their data requirements and develop solutions that enable data-backed decision-making. This will involve building, maintaining, and enhancing self-serve data products such as dashboards and tables to expedite insights and track product group KPIs. You will need to identify key metrics through rigorous exploratory data analysis, facilitating decision-making and business prioritization for senior-level stakeholders. Your role will also involve communicating findings effectively through well-documented analyses and visualizations. Additionally, you will be responsible for designing, executing, and evaluating experiments to test business hypotheses. As part of your responsibilities, you will manage a team of 2-5 data analysts, providing coaching, support, and setting them up for success. Key Responsibilities: - Work closely with teams to understand data requirements and develop data solutions for data-backed decision-making. - Build, maintain, and enhance self-serve data products like dashboards and tables for quicker insights and tracking KPIs. - Identify key metrics through exploratory data analysis to aid decision-making for senior-level stakeholders. - Communicate findings effectively through well-documented analyses and visualizations. - Design, execute, and evaluate experiments to test business hypotheses. - Manage a team of 2-5 data analysts, providing coaching, support, and ensuring their success. Qualifications Required: - Bachelor's Degree in Science, Engineering, IT, or Mathematics from a top-tier college. - Minimum of 7 years of professional experience in data analytics and business intelligence. - Minimum of 2 years of people management experience. - Strong understanding of database designs and ETL principles. - Hands-on experience with SQL, Python/R, and analytics tools like Power BI, Tableau, and Google Analytics. - Ability to comprehend business problems within an Omni Channel Retail context and utilize data effectively. - Strong stakeholder management skills for managing expectations and negotiating assertively. - Excellent communication, teamwork, and problem-solving skills. - Basic knowledge of machine learning techniques such as Regression and Classification is an added advantage.,