Amazon.com-posted 2 months ago
$52,700 - $102,400/Yr
Bellevue, WA
5,001-10,000 employees
General Merchandise Retailers

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. 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.

  • 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.
  • 2+ years of business or financial analysis, product costing, procurement, or a quantitative role experience.
  • 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience.
  • 2+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience.
  • 2+ years of tax, finance or a related analytical field experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling.
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
  • Full range of medical, financial, and/or other benefits.
  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
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