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Data Analyst - Financial Products

Data Science, Engineering in Palo Alto, CA

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.


For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.


And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.


About the Role


In this position, you will get an amazing opportunity to implement/build a wide array of platforms for aggregating/visualizing various financial metrics and provide insights to the financial leadership for making strategic decisions. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.

What You’ll Do


  • Work with FP&A, Capital Markets, technical teams, product managers, engineers and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
  • Collaborate with finance stakeholders to define financial metrics and build scalable queries to compute the metrics.
  • Build self serving dashboards and automate data pulls for the dashboards. Automate whatever you can!
  • Design and create visualizations to present actionable insights related to data sets and business questions at hand.
  • Get a deep understanding about the process and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.



What You’ll Need


  • Bachelor’s degree with 2 yrs experience or Master Degree with 1 yr experience in Economics, Math, Computer Science, Statistics, Management Science or other quantitative field.
  • Experience with building dashboards in R Shiny or Tableau or other data visualization tools such as D3
  • Demonstrated experience of a good scripting language such as R or Python
  • Strong data, statistics, and analytical skills with a good grasp of SQL. Experience with Hive & Presto is a plus.
  • A passion for hacking things together in order to solve the hardest problems
  • Strong communication and organization skills with the ability to work with multiple stakeholders



Bonus Points If


  • You understand how to execute, build, and get things done with limited resources
  • You have experience with OLAP tools eg., TM1, Hyperion etc.
  • You have exposure to machine learning



About the Team


The quantitative strategy team within Strategic finance builds scientific models using time series analysis & machine learning to forecast metrics, understand supply-demand relationships, rider/driver elasticity and quantify impact of various metrics on riders/drivers, in order to provide actionable insights to the finance leadership for making financial decisions.

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.