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2019 University Graduate - Product Analyst - Marketplace

San Francisco, CA,Data Science, University

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

 

The Marketplace team is looking for a high performing Product Analyst to make significant contributions to our mission. All Marketplace Product Analysts influencing decisions with data and partner closely with Product, Data Science, Engineering, and Operations on fast moving, high-stake problems. A deep analytical passion to learn and ability to execute on key business priorities is a must.

What You'll Do 

  • Incorporate User Experience: Deeply understand what matters most to customers and use these insights to optimize the user experience
  • Champion for Data: Improve data access and integrity through building and maintaining effective dashboards and collaborating with Engineering to improve data accuracy and reliability
  • Manage Stakeholders: Create effective working relationships with stakeholders by managing objectives and expectations and ensure we make data-driven decisions regarding product
  • Explore Data: Proactively explore quantitative and qualitative data to identify product opportunities and discover product insights
  • Define Metrics: Develop key success metrics critical for evaluating product success from a business and user perspective
  • Experiment: Conduct experiments (e.g., A/B and switchbacks) to evaluate the impact of new product features
  • Solve Problems: Tackle problems in creative and logical ways and consistently brainstorm alternative solutions
  • Distill Complicated Information: Translate complicated models and algorithms for non-data-savvy stakeholders and tell compelling, concise stories with data
  • Drive Insights Through Data: Provide insights and actionable recommendations for business stakeholders based on deep analysis and alignment with business goals
  • Connect Science with Business: Prioritize problems using business intuition and approach solutions with deep scientific rigor
  • Collaborate Cross-functionally: Partner and collaborate with teams across the organization to remove roadblocks and unlock new opportunities

 

What You'll Need

  • Bachelors or Masters degree (with an anticipated graduation in 2019) preferably in a quantitative discipline such as Economics, Statistics, Computer Science, or Engineering
  • Minimum 2 years relevant experience in product or data analytics
  • Experience defining user-experience and business metrics
  • Proficiency with SQL or a scripting language such as R or Python
  • Experience using experimentation to analyze the impact of new features (e.g., A/Bs, multi-variate testing, switchbacks, casual impact, etc)
  • Experience working with large / diverse data sets
  • Experience telling stories with data to both technical and non-technical audiences and creating clear and compelling visualizations to convey complex data
  • Experience managing stakeholders including strong communication and presentation skills

 

Bonus Points For

 

  • Experience in product strategy and development
  • Experience working with a two-sided Marketplace
  • Strong coding skills (e.g., R, Python)
  • Strong statistics, economics, engineering, or mathematics background
  • Experience with data pipeline management

 

 

About the Team

 

The Marketplace team builds the platform, products, and algorithms responsible for the optimization of Uber's marketplace focused on pricing, positioning, and matching for rideshare products. Our systems control the dynamics of all of Uber’s markets, from deciding rider promotion structures to dispatching the best driver on the network in real time.


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