Lead Driver

At Lyft, our purpose is to serve and connect. 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.
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
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

• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Experience working with ETL pipelines a plus

Extended health and dental coverage options, along with life insurance and disability benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the Toronto area is CAD $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.