Roles & Responsibilities • Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. • Understand Business & product problems and come up with deep data backed solutions. • Root cause analysis and Deep dive analysis of certain product problems • Running and maintaining the reporting system, presenting insights at a weekly forum • Building templates, dashboards in Power BI, Gsheets for operational and management reporting • Data extraction as per business request for Ad hoc analysis • Business analysis and understanding • Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance • Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: • 3 - 5 years working with large data sets and conducting quantitative analysis • Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). • Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python • Previous experience with working on ecommerce funnels, retention • Ability to think through product and business metrics to assess product features • Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus • Quick learner and ability to work in dynamic work environment • Team player and comfortable interacting with people from multiple disciplines • Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications • Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ........................................................