What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• 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
• 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
  
  

Basic Qualifications

• 4+ years of experience (Bachelor) OR 3+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
• Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
• Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
• Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
  
  

Preferred Qualifications

• SQL mastery. Write efficient and complex code in SQL
• Experience in Python/R and experimentation, A/B testing, and statistical modelling
• Experience in Payments or Compliance with a Product / Tech company
• Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
• Love of data - you just go get the data you need and turn it into an insightful story.
• A well-organized, structured approach to problem-solving
• Strong sense of ownership, accountability, and entrepreneurial spirit
• Great communicator, problem-solver & confident in decision making
• Independent & autonomous, while still a strong teammate
• Enthusiastic, self-starting and thrives in changing, agile environments