Analytics Lead, LUS

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

 Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners.

In this role, you will collaborate closely with Operations, Policy, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure.

We’re looking for a passionate and driven Analytics Lead to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.

Responsibilities

• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders to manage and update key business logic 
• Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
• Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time
• Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners
• Monitor and diagnose KPI performance and present findings to senior leadership

Experience

• 4+ years of experience in data analytics in a high-growth environment
• Experience building dashboards for performance analysis
• Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
• Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
• 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
• Strong attention to detail, structured thinking and experiences developing processes to reduce human error

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan 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

Lyft proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. 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 Montreal area is CAD $78,480 - CAD $98,100. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.