Analytics Lead, Driver Experience

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As an Analytics Lead on the Driver Experience team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day.  You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly. This Analyst’s role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings.

Science & Analytics is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

• →Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
• →Apply analytics and experimentation techniques to solve business problems
• →Establish metrics that measure the health of our driver products and driver experience
• →Develop analytical frameworks and dashboards to monitor business and product performance
• →Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
• →Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
• →Design and implement data pipelines to support data analysis and product implementation

• Degree in a quantitative field such as statistics, economics, applied math, or relevant work experience
• 4+ years experience in an analytics role
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners 
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Experience working with ETL pipelines a plus