Uber Regional SQL Specialist - Payments 

United States, West Virginia 

65439850

What you'll Do:

• Analytics - Analysis of databases using SQL to review earner (partners), spender (users), and merchants metrics to properly detect fraud and ensure high-quality experiences in the Uber ecosystem. The position may be required to build and maintain basic to intermediate level reports and dashboards.
• Actionable Insights - The main deliverable will be to generate insights with the aim to reduce Financial Fraud, Chargebacks, Cash Arrears, Refunds and Appeasements, Promo Abuse, Unsettled Transactions, etc. We value the ability to think critically and suggest appropriate action based on the available evidence.
• Root cause Investigations - You will be an enthusiast in understanding how the fraudsters exploited loopholes and explore or provide advice on solutions from products or operations.
• Effective Communication - The ideal candidate will need to be able to successfully summarize and communicate investigation results, findings and insights to drive Product and Operational fixes. Given the diverse and broad scope of Uber’s business across geographies and territories, the official communication language is English which is a must for the position.
• Team Player - We expect you to be proactive and resourceful in your day-to-day activities as well as having the ability to work independently and as part of a team, collaborating with colleagues and other teams. A self-starter attitude is a must!

Basic Qualifications

• Expert in writing SQL queries for large data interpretation and the ability to derive insights from it.
• Technical experience in working with spreadsheets, SQL interfaces, and graph and pivot table creation. (Experience with managing and creating dashboards is a plus).
• Proficiency to clearly communicate verbally and written in English.
• Experience in creating and optimizing manual review queues is a plus, but not required

Preferred Qualifications

• Problem-solving - Being able to solve medium-complexity problems by using logic, common sense and data. Identifying the root cause of a problem as opposed to focusing on the symptoms.
• 1-3 years of high performing work experience in Risk, Fraud, Safety, Banking, Online Retailers, Fintech. Being a fraud enthusiast is a must.
• Ability to take initiative in a constantly-changing work environment while maintaining flexibility and a collaborative attitude.
• Quantitative data analysis, deep actionable insights, and analysis experience.
• Capacity of understanding financial fraud metrics and their implications and effects on Financial reporting.
• Good communication skills that will allow you to clearly explain your work and to participate in constructive debate. In Uber, we value great ideas no matter the level of the person that is presenting them, our ideal candidate will not be afraid to speak up whenever something does not seem right or could be improved. #GreatMinds Don'tThinkAlike
• Python Knowledge

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .