Senior Manager - Data Analytics

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. To be successful in this role, you should hold a Bachelor's Degree in Science, Engineering, IT, or Mathematics from a top-tier college. You should have at least 7 years of professional experience in data analytics and business intelligence, along with a minimum of 2 years of people management experience. A strong understanding of database designs and ETL principles is essential for this role. Hands-on experience with SQL, Python/R, and analytics tools like Power BI, Tableau, and Google Analytics is required for building dashboards and performance scorecards. You should possess the ability to comprehend business problems within an Omni Channel Retail context and utilize data to address them effectively. Strong stakeholder management skills are crucial, enabling you to manage expectations and negotiate assertively. Excellent communication, teamwork, and problem-solving skills are highly valued. Basic knowledge of machine learning techniques such as Regression and Classification is an added advantage for this role.,