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Product Analyst - Consumer Data Science

Data Science, Engineering in San Francisco, CA

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

 

We are looking for a high performing Product Analyst to make significant contributions to our mission. Product Analysts work closely with Product, Data Science, Engineering, and Operations on fast moving, high-stakes problems. A deep analytical passion to learn and ability to execute on key business priorities is a must.

What You'll Do

 

You will shape the direction of Uber’s products by using data-driven insights to identify opportunities and prioritize of product and engineering initiatives. You will:

 

  • Define and analyze key product data sets to understand customer and product behavior.
  • Build visualizations to communicate data to key decision-makers.
  • Explore data to identify opportunities and discover customer and product insights.
  • Recommend product and business decisions based on your analysis.
  • Analyze and design experiments to assess the impact of product changes.
  • Solve problems and answer data-related questions about customers and products.
  • Communicate your findings to cross-functional peers and management.

 

 

What You'll Need

 

  • Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
  • Prior experience in Product Analytics or other forms of data analysis
  • Excellent SQL skills and experience in at least one scripting language (Python or R preferred)
  • Demonstrated ability to use data to help solve business problems
  • Solid understanding of statistical methods
  • Ability to learn and adapt to new methodologies and approaches to data collection and data analysis
  • Ability to deliver on tight timelines and move quickly with cross-functional teams to execute on decisions while maintaining attention to detail
  • Ability to work in a self-guided manner
  • Superb communication and organization skills

 

 

About the Team

 

The Consumer Data Science team uses data to improve the ways that Uber’s users engage with our products. Product Analysts on our team produce and interpret business metrics, design and conduct product experiments, and develop actionable insights from the data. We work closely with six major product areas:

  • Driver: Creating a seamless product experience for drivers across the driver journey: matching drivers to cars, onboarding onto our platform, creating a stress free trip experience, and providing flexible earnings opportunities to engage drivers long term.
  • Rider: Building products that create an awesome experience for people who ride with Uber.
  • Maps: Building systems and services that provide the geospatial backbone of Uber's functionality: mediating users' digital connection to their physical world through traffic modeling, travel time estimation, geospatial search, hotspot computation, and map display and navigation.
  • Payments: Building delightful ways for users to pay and get paid for their Uber rides and more
  • Uber for Business: Creating products for organizations needing a seamless global travel solution and who want to provide courtesy rides to their customers and clients.
  • New Mobility: Developing new products and businesses including bikeshare, scooters, and other emerging modes of transportation on Uber’s platform.

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.