Data Analyst, Autonomous Vehicles

Lyft; Toronto; Hybrid; CAD 96,000 - 120,000; Full time

Benefits offered by this job

Extended health and dental coverage

Mental health benefits

Family building benefits

RRSP plan with company match

Paid time off

Lyft Health Care Savings Account

Job summary

Lyft in Toronto is seeking a Data Analyst to power data-driven decisions across AV depot operations and the rideshare network. You will build reports, dashboards, and tools for stakeholders, translating data into strategic recommendations to improve performance.

Collaborate with Operations, Finance, Product, Data Science, and Engineering; own cross-functional projects, define KPIs, and partner with FP&A on P&L.

Qualifications

• Bachelor's degree in a relevant field.
• 3–5 years of experience in a high-growth or complex business, or a top-tier consulting/finance environment.
• Deep understanding of complex data models, BI methodologies, data architecture principles and metadata.
• Proficient in SQL; Python or other languages a plus.
• Proven ability to influence across the business and drive results.
• Able to operate in a lean, fast-paced environment with ambiguity.
• Strong interpersonal and stakeholder management skills across levels.
• Excellent communication; able to translate findings for leadership.
• Experience with P&L involvement and/or Mobility/Auto-Tech a plus.

Responsibilities

• Build reports, dashboards and tools for stakeholders.
• Derive insights and provide actionable recommendations to optimize performance.
• Communicate data needs with partners to track service levels and manage requests.
• Define critical KPIs and metrics with cross-functional teams; drive operational rigor.
• Engage with FP&A on P&L management and financial modeling.
• Bridge Operations with Tech by understanding vehicle lifecycle and fleet ops.
• Own problem-solving initiatives with data and rally stakeholders to implement solutions.
• Define processes for performance tracking and reporting.
• Lead meetings, package work, and present to large audiences.

Skills

SQL

Python

Stakeholder management

Data modeling

BI methodologies

Education

Bachelor's degree

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.

Lyft stands at the very center of autonomous vehicle (AV) innovation by uniting the operational power of comprehensive Fleet Management with our world-class Rideshare network. Through Flexdrive, we are revolutionizing transportation by building the operational backbone for AV fleets— pioneering this new chapter with our first AV depot in Nashville, Tennessee. Lyft brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs.

To strengthen our efforts, we are hiring a Data Analyst to help us make data driven decisions. As a Data Analyst in the autonomous space, this role will uniquely be exposed to both AV Depot Operations and the AV Rideshare network. As we build the future of mobility from the ground up, we are looking for a strong thought leader and executor who is passionate about driving data driven decisions and energized by solving complex problems. You will partner with a wide range of stakeholders – Operations, Business, Finance, Product, Data Science, Engineering and many others. This role will report into the Senior Analytics Manager within Lyft’s Global Growth Org with opportunities for senior leadership visibility.

The ideal candidate - You have strong technical skills, are team-driven and have a growth mindset. You can roll‑up your sleeves to undertake large cross functional projects. You are comfortable navigating the ambiguity of innovative projects and operate effectively in fast‑paced environments. The Autonomous industry excites you and you are looking for the chance to drive high impact projects in this space as Lyft engineers next‑generation transportation.

Responsibilities:

• Leverage technical skills to build reports, dashboards and tools for stakeholders
• Develop insights through analysis to build informed narratives, deliver strategic recommendations and provide actionable guidance that optimizes business performance
• Work with external partners to communicate data needs that enable success in tracking toward critical service levels and manage incoming data requests
• Work with business and leadership to define critical KPIs and metrics to support cross‑functional teams, manage performance, create operational rigor and proactively seek ways to improve the business
• Ability to engage with FP&A partners on P&L Management and financial modeling
• Bridge Operations with Tech – become an expert in the vehicle lifecycle, from the day‑to‑day Fleet Operations that keep AV fleets running smoothly to the tech that transports riders from point A to B
• Take full ownership in solving complex problems with data and rally stakeholders to implement solutions
• Define processes and streamline the operational cadence for business performance tracking
• Comfortable leading meetings, packaging work and presenting in large forums

Experience:

• Bachelor’s degree in a relevant field
• 3-5 years of experience with a mix of business analytics in a high growth or complex business, investment banking with strong analytical exposure and/or role at a top‑tier consulting firm
• Deep understanding of complex data models, BI methodologies, data architecture principles and metadata
• Proficient in SQL and working with raw data sets. (Python or other programming languages is a huge plus.)
• Proven success in driving influence within the business
• Ability to operate successfully in a lean, fast‑paced organization and proactively thrive in ambiguous environments
• Outstanding interpersonal and stakeholder management skills with a proven ability to work cross functionally & effectively with individual contributors, management, and leadership across the organization
• Operationally‑focused, process‑oriented, data‑driven, and simply able to get stuff done
• Strong communication skills with the ability to package findings & technical concepts for leadership consumption
• Previous experience in P&L involvement and/or Mobility or Auto‑Tech industry is a huge plus

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. 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 $96,000 - CAD $120,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.