DESCRIPTION

Amazon is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking to join the Theft, Fraud, Abuse and Waste team. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, and is passionate about data analysis.

As a Business Analyst, you will be eager to translate data into actionable insights for business teams and key stakeholders. You will identify areas of opportunity to automate and scale ad-hoc analyses. You will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. You will also partner with business teams and key stakeholders to create key performance indicators and new methodologies for measurement.

This role requires an individual who can take ownership, has excellent analytical abilities, and the ability to work with technology, finance, and business teams. The Business Analyst position relies on analytical and problem-solving skills, including the ability to recognize non-obvious patterns, analyze diverse data sets and work closely with internal teams and stakeholders to recommend solutions in an ambiguous environment.

Major responsibilities:

Build data visualizations for metrics, key performance indicators and other reporting needs
Analyze data from diverse data sources to identify fraud trends and proactively take action to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.
Analyze fraud data to determine patterns on fraud activity
Monitor evolving fraud clusters and propose new rule criteria using SQL
Report on daily fraud trends and cluster characteristics
Provide visibility and updates regarding project timeline and deliverables
Escalate problems and roadblocks as needed
Communicate clearly to stakeholders on project requirements and status
Communicate analytical insights and work with key stakeholders to understand its value
Work with internal teams to come up with action plans to address corrective and preventative measures to mitigate risk
Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience
Work with cross-functional teams across Amazon to collaborate on fraud risks and investigations

BASIC QUALIFICATIONS

4+ year of relevant experience in data analysis
1+ years of experience in extracting and processing data using SQL and Excel
1+ years of experience with Data Mining

PREFERRED QUALIFICATIONS

Proven ability to make decisions in a timely manner with incomplete or ambiguous information
Demonstrated ability to effectively manage time and individually prioritize multiple tasks of competing priority
Excellent oral/written communication and presentation skills, including an ability to effectively communicate with both internal and external stakeholders
Ability to operate at both a granular and macro level
Demonstrate excellent judgment, discretion, composure, and professional attitude
Fast learner who seeks out and generously shares best practices
Excellent team player capable of learning and sharing knowledge in a global team environment