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Senior Product Analyst - Financial Products






New York City, NY, US


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.

About the Role


As a Data Scientist on the Financial Products team, you'll take an active role in shaping and implementing the product data science agenda across a global set of financial services and payment experiences; including the Uber visa card and digital wallet. The team is at the intersection of consumer experiences, payments, and our core ridesharing and Eats businesses. You will be interacting with product, design, marketing, engineering, and partnerships to propose insights into how to enhance and grow Uber’s financial products strategy. In addition to these cross-functional partnerships, you will also play a key role in driving collaborative relationships with data scientists and analysts across Uber’s varied data teams.

What you'll do


  • Leverage data to conduct analyses to shape the financial products new initiatives, strategies and product roadmap. Analytical insights are used to enhance our understanding of user behavior, predict future performance of new cohorts, and personalize products to better target users for new or existing financial products.
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends for the team. Projects range from analyzing fully randomized research designs to utilizing more advanced techniques to elicit causality in the absence of a clean experimental setup.
  • Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.
  • Create data pipelines to transform raw application data into a format usable for analysis with the use of SQL and open-sourced pipelining tools.
  • Create dashboards and reports to regularly communicate experimental results, adhoc deep dives, and monitor key metrics to internal and external stakeholders.
  • Present findings to the financial products team, the data science community, and Uber’s senior management to inform business decisions.
  • Work closely with multiple product managers as thought partners across the rider, driver, and Eater domain space. Collaborate with cross-functional teams like product, engineering, operations, and marketing, finance, growth, and more.


What you'll need


  • 5-8 years of experience in a quantitative analysis role with emphasis on statistics.
  • BA/BS/MS in Math, Statistics, Engineering, Computer Science, or another quantitative field. Advanced degrees are a plus.
  • Excellent SQL skills, advanced Excel skills, and proficiency with Python or R for statistical analysis in order to work at scale with truly big data sets.
  • Advanced knowledge of experimentation and statistical methods. Machine learning techniques are a plus.
  • Ability to deliver on tight timelines and move quickly while maintaining attention to detail.
  • Work closely with cross-functional teams to execute on decisions.
  • Self-driven with the ability to work in a self-guided manner with minimal oversight, but knows when to ask for help.
  • Superb communication, collaboration, and organizational skills with a general love of problem solving.
  • Enthusiasm for disruption and an appetite to overcome challenges, internal and external, as you will be changing the way the world gets from point-a to point-b.


About the Team


We’re a team that operates out of Uber’s San Francisco / Palo Alto / NYC offices, and coordinates efforts with our global technology teams in Amsterdam and Bulgaria. As a member of our team, you will dig into the complex but rewarding world of financial services, payment experiences, and ship innovations across the globe. The team manages a portfolio of products that includes the Uber Cash, Uber Visa Card, Visa Local Offers, Uber Rides with (Amex) Platinum, and Uber Gift Cards (more in the works).

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