Data Scientist

About the Team:The eCommerce Analytics team partners with the eCommerce Product and Strategy teams to build product and experiences that enhance the experience for millions of customers. You’ll leverage data support and drive the work of teams who develop experiences that have changed the industry including the cart and checkout experience, account creation and sign-in flows, and other purchase-oriented digital experience. Innovating on the world’s biggest stage, you’ll get to deliver customer-centric solutions before they walk in the door, after they purchase, and every step in between. This is that place. This is Walmart. As the biggest player in the game, we trust our associates to innovate the future of shopping. If you are motivated by complex, purposeful challenges, an Analytics Manager, eCommerce Analytics role at Walmart could be the fit you’ve been looking for. The role involves partnering very closely with multiple Product, Engineers, Design, and Business Partners to elevate the site experience across verticals on Walmart.  What You'll Do:Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to accurately track and analyze existing and new product initiativesLeverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-makingDefine and monitor KPIs to measure product performance and monitoring product healthDefine the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data capturedCreate effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performanceLeverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as BigQuery or Hive to identify opportunitiesUse statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management teamDesign and execute A/B tests to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App)Provide data driven insights and deliver recommendations that address opportunities for product improvementsLeverage advanced analytics solutions to identify product and business opportunities at scale using regression, clustering, classification, gradient boosting, etc. techniques