Business Analyst II, Business assessment and reinforcement (BAR)

Amazons Verification & Risk Management Operations (VRMO) 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.

BAR designs and builds the inspection systems risk models and operational processes that minimise risk and maximise trust across Amazons 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 data platforms including real-time and close to real-time platforms to help create signal out of the mountains of data.

Using LLMs will be critical requirement for this role as it needs experimentation and agent experience.

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.


Key job responsibilities
Organisation skills demonstrated ability to work independently to make complex investigations has self-discipline is diligent and can manage time appropriately.
Communication skills ability to communicate (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories
Automation of manual data processes including data quality and validation
Reporting using widely available reporting tools for instance Quicksight or Tableau
Ability to translate ambiguous work-streams in to tangible requirements and success metrics including ability to build metrics and metrics decks.
Ability to earn trust among widely differing stakeholders of different roles responsibilities geographical location and culture.
Using LLMs and Agents for efficiency improvement

- 3 years of tax finance or a related analytical field experience
- 5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
- 3 years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel

- Bachelors degree or equivalent

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