Analytics Lead, Metrics

Location: Toronto, Canada

Department: Core Systems & Platforms

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.

As an Analytics IC on the Metrics Team, you will own how key business metrics are defined, governed, and represented across our data products. You will ensure that metrics are clearly defined, consistently applied, and trusted across multiple data sources.

Working closely with Data Scientists who build and maintain domain datasets, you will focus on the integrity and usability of the data itself, establishing canonical metric definitions, maintaining consistency across reporting, and ensuring that dashboards and datasets serve as reliable sources of truth. This role is critical to ensuring that teams across the organization operate from a shared and accurate understanding of the business.

Responsibilities

• Own canonical definitions of key business metrics across internal and external data sources
• Evolve metric definitions over time and drive alignment on updates across teams
• Ensure metrics are clearly defined, consistently applied, and accurately reflected in data products
• Maintain consistency and alignment of key metrics across datasets and reporting outputs
• Identify and resolve discrepancies in metric definitions and reporting
• Own dashboards and datasets used as sources of truth across teams and leadership
• Ensure data products are clear, reliable, and usable for downstream consumers
• Establish and uphold standards for metric accuracy, consistency, and governance
• Partner with Data Scientists to ensure consistent implementation of metric logic
• Act as a central point of coordination for metric-related questions
• This is an IC (individual contributor) position

Experience

• 3–5+ years in data analytics, preferably in a high-growth environment
• Bachelor’s degree in a quantitative field (e.g., analytics, statistics, economics, finance, marketing)
• Strong SQL proficiency, including writing efficient queries on large datasets
• Experience working with diverse data sources and producing reliable, analysis-ready datasets
• Familiarity with ETL pipelines; Python or data science experience is a plus
• Strong attention to detail with a focus on accuracy, consistency, and preventing metric drift
• Ability to own and evolve canonical metric definitions and drive alignment across stakeholders
• Experience defining and maintaining source-of-truth metrics used in reporting and data products
• Strong analytical thinking and data intuition; able to validate outputs and identify inconsistencies
• Ability to work through ambiguity and translate loosely defined problems into clear approaches
• Strong communication skills and ability to collaborate effectively across teams

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 $102,000 - CAD $127,500, 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.