Uber

The Programme 

Build scalable analytical frameworks to support product analytics for Uber's Risk and Identity Platform. Own new product experimentation including plan creation, roll-out, and monitoring. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues.

What You Will Do

• Develop and track metrics and reporting functions to measure and monitor risk products on our platform.
• Effectively and proactively communicate insights and drive projects to drive towards team goals.
• Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges.
• Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts. 

Required Skills and Abilities 

• BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field (graduate degree in STEM related field a plus).
• SQL mastery - be able to write efficient and complex code.
• Python experience.
• Background in experimentation, data visualization, and reporting, leveraging open source libraries/packages and third-party tools (Tableau or similar).
• Strong statistical background.
• Experience designing experiments and analyzing experiment results.
• Very strong verbal and written communication, and presentation skills including fluency in English.
• Highly detailed oriented.
• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
• Able to identify stakeholders, build relationships, and influence others to get work done.
• Enthusiasm about Uber!