Business Analyst I, Buyer Abuse Prevention -Analytics, Buyer Abuse Prevention Analytics

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

As a Business 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

Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country

Solve analytical problems, and effectively communicate methodologies and results

Build analyses for product launches

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

Basic Qualifications

• 1+ years of tax, finance or a related analytical field experience
• 2+ years of complex Excel VBA macros writing experience
• Experience defining requirements and using data and metrics to draw business insights
• Experience with SQL or ETL
  
  

Preferred Qualifications

• Experience working with Tableau
• Experience using very large datasets
  
  

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