Job Description
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.
Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of product changes.
The Events & Venues team covers all situations related to events, such as sports games being held at a stadium, concerts being held at a local venue, or a running race held in an area of a city. Events are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As an Analytics Lead on the Events & Venues team, you will collaborate with our team of engineers, product managers, operations, and designers to conduct thorough data deep dives on event performance, challenge our current strategy, and recommend enhancements to facilitate market growth.
The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:
- What gaps exist in our performance at events & venues today? What areas of the rider and driver experiment should we focus on to improve this marketplace?
- Which types of events are underperforming and which key metrics can we use to identify and classify event performance? What targets should we set for these key metrics and how do we efficiently monitor these metrics?
- How should we be pricing event rides? Who are our current event riders and what segment is most likely to grow our rider base?
- What is the impact of Lyft advertising and should we continue to invest?
Responsibilities:
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending solutions to drive business impact
- Establish metrics that measure the health of our products, the business, and the rider and driver experiences
- Manage, build, and automate reporting to provide regional and national teams with actionable insights on volume, efficiency, and rider and driver experiences
- Partner with product managers, engineers, marketers, designers, and operations to translate data insights into decisions and action
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience:
- 4-7+ years experience in strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- End-to-end experience with data, including querying, aggregation, analysis, and visualization, to provide actionable insights and reusable frameworks
- Extremely proficient in SQL and quantitative analysis - you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
- Experience in leading high visibility projects and influencing others in a cross-functional team environment
- Exceptional communication skills with the ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
- Strong business and product sense, meaning the ability to understand business issues, think strategically about complex and unstructured business problems, and build decision making frameworks
- Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health 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 is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. 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. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
