Lyft's purpose is to serve and connect, cultivating a work environment where all team members belong and have the opportunity to thrive.
Data is at the heart of Lyft Business's products and decision-making.
The team supports a multi-billion-dollar B2B portfolio spanning healthcare, business travel, corporate commute, automotive, and transit.
Responsibilities
Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views.
Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building.
Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation.
Define what the team's core metrics mean and where they live.
Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language.
Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences.
Requirements
Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields.
3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization.
Proficiency in SQL — able to read, write, and review structured, efficient queries on large data sets.
Experience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar).
Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar.
Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plus.
Experience with Python for data analysis and automation is a strong plus.
Commercial instinct paired with a builder's instinct.
A track record of influencing business decisions through analysis.
Strong analytical skills with the ability to tackle ambiguous problems.
Excellent communication skills.
Strong attention to detail and a commitment to data accuracy and integrity.
Ability to collaborate across functions, manage competing priorities, and drive projects to completion.
Conditions
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.
Flexible paid time off policy.
18 weeks of paid time off for new parents.
Subsidized commuter benefits and Lyft ride credits.
Hybrid schedule — expected to work in the office at least 3 days per week (Mondays, Wednesdays, Thursdays).
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.