In the Worldwide Returns & ReCommerce (WWRR) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line.
WWRR includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WWRR, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems.
Amazon is Earth’s most customer-centric company and in WWRR, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Key job responsibilities
* Use analytics and data mining techniques to solve complex problems and drive business decisions.
* Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt
* Dive into customer behavioral patterns and recommend the policy change hypothesis
* Solve analytical problems, and effectively communicate methodologies and results
* Build analyses for product launches and provide launch recommendations
* Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
* Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
