Business Analyst

Job description

DESCRIPTION

You have superpowers ! Use them for good. We catch bad guys and stop online fraud. It's fun. It's hard. It matters. We need you.

Amazon's Seller Fraud Prevention team is engaged in a technological arms race: cyber-criminals from across the world continually look for new ways to steal from us and cover their tracks, while we invent new techniques to detect and neutralize them with ever increasing speed and scale.

It's fun. We don't just catch the bad guys; we stop crimes before they happen. Remember the "Minority Report"? It's just like that. Basically, we predict the future by developing and applying cutting-edge machine learning systems to detect, predict, and prevent online fraud before it happens.

It's hard. This is Amazon, so of course our services are low latency, high throughput, highly scalable, and failure proof. Our fraud prevention systems are also highly reactive: we process multiple terabytes of data yet notice changes in individual behavior patterns in seconds. Even by Amazon standards, our datasets are massive and our transaction rates impressive, and everything is built with a scrupulous attention to security.

It matters. Amazon is one of the world's most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when sellers cheat buyers, everyone loses. Even after we refund their money, buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and chargebacks goes straight to our bottom line and ultimately results in higher prices for all our customers.
As a Business Analyst, you are responsible for identifying, monitoring and neutralizing modus operandi (MOs) that pose a risk to Amazon.com's customers and/or business. Your responsibilities include testing suspected MOs against historical transactions, determining the frequency and financial impact of such MOs, and implementing algorithms that flag transactions that resemble known MOs. In addition, you are responsible for ensuring that risk factors are communicated to all stakeholders, and that any related changes to risk models, tools and/or manual processes are prioritized appropriately and driven to completion.

Responsibilities:

· Establishing scalable, efficient, automated processes for large scale data analyses, rule development, rule validation and rule implementation
· Perform business analysis using data queried via SQL, SAS, Excel, Access, etc.
· Develop Metrics and Dashboards using SAS, Perl, Excel and OBIEE (Oracle Business Intelligence).
· Provide project planning, execution, risk assessment and system availability
· Lead in a fast-paced, rapidly changing environment by working directly with leadership across different locations
· Work closely with software engineering teams to drive real-time rule implementation and features
· Work closely with operations staff to optimize fraud detection and risk management
· Track general business activity to provide clear, compelling metrics reporting on a regular basis

Desired profile

BASIC QUALIFICATIONS

Prior experience performing business analysis using data mining and analysis tools including SQL, SAS, Access, Excel, etc.
· Analytical mindset and ability to see the big picture and persuade others to see the same
· Detail-oriented and must have an aptitude for solving unstructured problems.
· Ability to extract data from various sources and complete analyses to drive solutions to business problems.
· Success in planning and executing projects
· Stellar written and verbal communication skills