Lyft
Data Analyst, SMB Self-Serve
Toronto, Canada
Sponsorship not specifiedDetected 15 days ago
PythonSQLAirflowdbtData AnalysisData ScienceData VisualizationLLMsStatisticsA/B TestingLeadershipCommunication
About the role
- 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 and analytics are at the heart of Lyft Business's products and decision-making.
Responsibilities
- Partner closely with Product and Engineering to validate instrumentation and surface data gaps before they distort the funnel or new features launch - catching the data quality issues that stay invisible until someone goes looking
- Turn recurring reporting into well-defined, reusable datasets, replacing one-off queries with durable foundations others can build on
- Identify recurring workflows worth automating, and help build the prompts, context, and guardrails that make AI analytics tooling reliable for the wider team
- Conduct deep-dive analyses and design experiments to establish conversion baselines, measure business impact, and uncover the "why" behind performance trends
- Partner with Data Science & Analytics, Marketing, and other cross-functional stakeholders to inform strategy and drive decisions
- Comfortable using AI coding and analytics tools - LLM assistants, agentic SQL/analysis workflows - to accelerate extraction, exploration, and reporting, while reviewing and validating every query, result, and insight before it reaches stakeholders; you own the correctness of the output, not the tool
- A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
- Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
- Ability to collaborate across functions, manage competing priorities, and drive projects to completion
- This is a hands-on role for an analyst who is energized by turning product and customer data into insights that shape strategy - and who builds those insights on a foundation others can trust and reuse.
Nice to have
- 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 in a product, growth, or B2B context
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience with funnel analytics, conversion measurement, and A/B testing (preferred)
- Proficiency in a data visualization tool like Tableau, Looker, Mode, or similar
- Experience with Python for data analysis and automation is a strong plus
- Familiarity with modern data stack tooling (Airflow, dbt) is a plus
- Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
Compensation
- Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.
- 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.
- Subsidized commuter benefits and Lyft ride credits
- Your recruiter can share more information about the various in-office perks Lyft offers.
- 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.
Company info
- We're looking to hire a Data Analyst to support our Self-Serve segment - the fastest-growing part of Lyft's B2B portfolio, serving small and mid-size businesses across North America.
Equal opportunity
- Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.
Visa & Work Authorization
- qual 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
This listing is sourced directly from Lyft's careers page and normalized into a canonical job model.