Analytics Lead, LUS

Responsibilities

• Partner with Product, Engineering, Policy, Operations, Finance, and other cross-functional stakeholders to conduct deep-dive analyses, identify root causes, and propose solutions.
• Develop frameworks, business logic, and scalable processes to streamline reporting and drive decision-making.
• Forecast operational requirements and investments needed to maintain high service levels and meet contractual and financial targets.
• Work with cross-functional partners to deliver data quickly, reliably, and accurately to city partners.
• Monitor and diagnose KPI performance and present findings to senior leadership.

Requirements

• 3–5+ years of experience in data analytics in a high-growth environment, preferably consulting, operations, transportation, or logistics.
• Bachelor's degree or equivalent relevant professional experience.
• Strong SQL and quantitative analysis skills, with the ability to analyze large datasets, draw meaningful insights, dissect business issues, and develop actionable conclusions.
• Ability to develop scalable approaches and create data visualizations that drive business insights and provide tangible solutions; dashboard-building experience is a plus.
• Comfort working with ambiguity and translating unclear issues or unstructured problems into clearly defined requirements with minimal oversight.
• Strong interpersonal skills, including the ability to build relationships, trust, and influence with cross-functional partners.
• Excellent listening, written, and oral communication skills, with the ability to present findings and recommendations to the appropriate audience.
• Strong attention to detail, structured thinking, and experience developing processes that reduce human error.
• Ability to contextualize real-world operations into analytical problem-solving.
• Strong sense of product ownership and commitment to improving customer experiences.
• Passion for sustainable mobility and active transportation.

Nice-to-have

• Proficiency in Python and associated data science libraries.

Compensation and Benefits

• Base pay range for the Toronto area: CAD $96,000–$120,000.
• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health benefits.
• Family-building benefits.
• Child care and pet benefits.
• Lyft-funded Health Care Savings Account.
• RRSP plan.
• Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off, with an additional day for each year of service.
• 18 weeks of paid parental leave for eligible biological, adoptive, and foster parents.
• Subsidized commuter benefits.
• Hybrid roles may be worked from anywhere for up to 4 weeks per year.