Business Analyst, Seller Partner Trust & Compliance
- +3
- +17
- Luxembourg
- +3
- +17
- Luxembourg
Über
Amazon's Seller Partner Trust & Compliance (SPTC) mission is to make Amazon the safest and most trusted place worldwide to transact online, either by identifying and reporting bad actors or mitigating risk and adhering to compliance laws and regulations according to market-specific, regional, or global direction. Amazon runs one of the most dynamic online platforms, encompassing dozens of global products with compliance requirements, including, Amazon Marketplace with over 2 million sellers worldwide selling hundreds of millions of items in eleven countries, Amazon Pay and MTurk.
SPTC designs and builds the software systems, risk models and operational processes that minimise risk and maximise trust across Amazon's global product surface area, by ensuring every transaction and entity is compliant.
We are looking for a highly analytical and result-oriented Business Analyst who can analyse business decisions, troubleshoot issues, and communicate the findings effectively across different teams while raising the technical bar of the globally distributed analytics team, providing data wrangling expertise, deep understanding of data fundamentals, working with and synthesising very large datasets.
We utilise multiple externally and internally (AWS and other) developed cutting-edge data platforms, including real-time and close to real-time platforms, to help create signal out of the mountains of data.
Our ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organising and communicating his work. You should have the technical experience and knowledge to work comfortably using SQL, Quicksight/Tableau/PowerBI and scripting languages (Python/Javascript) Additionally experience with designing data schemas that will allow you, and colleagues, which include Business Intelligence Engineers and Data Engineers to make sense of the vast datasets we possess.
Wünschenswerte Fähigkeiten
- Communication
- Data Quality
- Finance
- Tableau
- Communication
- Engineering
- SQL
- Reporting
- Computer Science
- Automation
- Financial Analysis
- SQL
- Tableau
- Python
- JavaScript
- AWS
- VBA
Berufserfahrung
- Data Analyst
- Business Analyst
- Business Intelligence
Sprachkenntnisse
- German