Uber Regional Data Analyst - Payments Risk & Identity 

United States, West Virginia 

724802320

About the Role

You will play an important role in identifying and investigating potential fraudulent activities and assessing risk factors. You will be responsible for analyzing data, conducting root-cause investigations and suggesting proactive measures to detect and deter fraud.

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 on the Uber ecosystem.
• 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!

What You'll need

• Expert in writing SQL queries for large data interpretation and the ability to derive insights from it.
• Technical experience in working with spreadsheets and SQL interfaces.
• Experience with managing and creating dashboards.
• Proficiency to clearly communicate verbally and written in English (B2+).
• 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.
• 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

Nice to have

• Experience in Risk, Fraud, Safety, Banking, Online Retailers or Fintech.
• 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 .