Description

Amazon - Middle Mile is seeking a Risk Specialist to assist with identity verification and fraud mitigation for daily freight movements flowing into and out of our North American fulfillment centers and our associated fulfillment network. This is an exciting opportunity to join a new team in a huge growth area for Amazon.

Amazon is looking for a Risk Specialist to work with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analysis. In this role the Risk Specialist will supporting strategic initiatives and operational improvements by finding & analyzing data, identifying trends, and translating business needs into actionable insights.

Key job responsibilities
- Write queries, compile data, and generate reports utilizing technologies such as RedShift, RDS (MySQL, MSSQL), Spectrum, and ETL.

- Tell a story based off the data, propose insights, and see actions through to the finish on those insights
- Interacting with business stakeholders, gathering requirements and developing complex analytics model and data-sets for deep dive
- Identifying the data quality issues across the various platforms at Amazon
- Extracting and combining data from various heterogeneous data sources
- Design and build data visualization tools to provide scalable solution for self-service metrics reporting
- Understand the business impact of the trends and make decisions that make sense based on available data
- Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
- Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings, and present these finding in a review forum
- Participate in ad-hoc projects and assignments as necessary
- Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations
- Apply risk management best practices to mitigate issues, identify operational inefficiencies