Lyft is hiring a Analytics Lead in Toronto!
Lyft is hiring an Analytics Lead for its Safety & Customer Care team in Toronto. This role focuses on improving the support experience by turning complex operational and product questions into clear, measurable insights. The lead will work across Product, Engineering, Data Science, Business Operations, and other partners to shape metrics, evaluate experiments, and guide prioritization. It suits someone who combines strong technical analysis with business judgment and can communicate recommendations clearly to senior audiences. The position is hybrid, with at least three days per week in the office.
Key responsibilities
- Collaborate with product, engineering, analytics, data science, and operations partners to advance shared business goals
- Create scalable frameworks and processes that support prioritization and decision-making
- Define success and platform-health metrics, then build dashboards that track them over time
- Design A/B tests and conduct analyses that measure the impact of product features and operational changes
- Translate data into practical recommendations that improve the customer support experience
- Track and diagnose KPI trends, and present findings and context to senior leadership
Key requirements
- Degree in a quantitative discipline such as statistics, economics, applied math, operations research, or engineering; an advanced degree is preferred
- At least two years of hands-on technical experience in data science or a comparable analytical role, ideally in a fast-growing startup
- Ability to turn loosely defined business problems into structured requirements with limited supervision
- Strong analytical and problem-solving skills, including comfort moving between detailed data work and high-level business issues
- Excellent written, verbal, and listening communication skills, with the ability to tailor messages to different audiences
- Proficiency in SQL and Python, with experience independently working with large datasets and combining multiple data sources
- Strong interpersonal skills and a record of building trusted relationships across functions
- Seniority: Lead
- Work mode: Hybrid; at least 3 days per week in office, including Mondays, Wednesdays, and Thursdays
- Salary: CAD $96,000 - CAD $120,000
- Key skills: SQL, Python, A/B testing, Dashboard development, Metric definition, KPI analysis, Stakeholder communication, Cross-functional collaboration
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