Senior Data Analyst, Tech


About the Team

Uber's Risk Team is at the forefront of one of the world's biggest challenges. Every day we process millions of mobile transactions in over 75 different countries, while also issuing driver-partner payouts on weekly, and in some cases, daily basis. As we grow and rapidly expand our transaction base across emerging products, we face new and interesting situations that many companies have never encountered. Our goal is to deliver innovative risk management in the two-sided marketplace to maximize legitimate revenue and sustainable growth.

We are seeking an experienced risk or fraud analyst to join our team. The analyst will be responsible for successfully executing on projects that require collaboration across product, engineering, data science, finance, and operations stakeholders in a complex environment. As an owner of key fraud metrics, you should have the analytics experience, intellectual curiosity, and resourcefulness to identify, measure, and mitigate new and emerging loss vectors. In this role, you will require a mix of business and technical acumen and also strong cross-functional skills to communicate with various internal and external stakeholders.

What You'll Do:

  • This hands-on analytics role for an experience professional will be responsible for assessing Uber Risk platform capabilities and develop new strategies to keep the fraudsters off the Uber's platform.
  • You will serve as the subject matter expert and thought leader on analytics/data driven solutions that mitigate risk of financial losses while also maintaining a positive user experience and enabling Uber to continue making big bold bets.
  • Driving vision and execution as an important member of the Risk Analytics team.
  • Prioritising key strategy initiatives based on impact through a data-driven approach.
  • Collaborate with cross-functional teams across disciplines such as product, engineering, data science with a focus on the Risk/Fraud mitigation.
  • Align functions on shared vision, OKRs, KPIs, metrics, etc.

What You'll Need:

  • 8+ years of data analytics/data science experience
  • Risk/Fraud fighting experience a big bonus.
  • Experience with Data Analytics/Data Science tech stack like SQL, Big Data Platform, R, Python.BS/MS or other quantitative field (advanced degrees are a plus), Risk/Fraud fighting experience a big bonus.
  • Comfort with ambiguity and the ability to work in a self-guided manner. Ability to navigate through networks and create relationships with leadership and teams alike
  • Excellent communication and presentation skills.
  • Creative problem solving and critical thinking skills with a bias toward action and a get things done attitude.
  • Ability to take initiative in a fast-moving environment and make self-guided decisions or take risks with incomplete information.
  • True passion for Uber's mission and the company's hybrid technology/operational nature. Hands-on, data-driven, and attentive to detail

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

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Confirmed 9 hours ago. Posted 8 days ago.

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