Role Overview

The Analytics Lead position sits at the intersection of data science, product management, and business strategy. Data and analytics form the core of Lyft's decision-making process, particularly within the Rider Experience team. Your mission will be to partner with cross-functional stakeholders—including Engineering, Product, and Marketing—to identify opportunities and design data-backed solutions that elevate the rideshare journey.

Imagine diving deep into rider behavior patterns, diagnosing product performance issues, and presenting insights that shape Lyft's roadmap. This role demands an obsession with customer experience improvement through rigorous analysis. You'll own end-to-end analytical projects, from framework creation to executive presentations, ensuring every decision aligns with Lyft's mission to connect communities through seamless mobility.

In Toronto's vibrant tech scene, this position offers exposure to cutting-edge rideshare innovations while working in a collaborative environment where belonging and growth are prioritized. With 4+ years of experience required, this is ideal for seasoned analysts ready to lead at a global scale.

Key Responsibilities

Your day-to-day will involve high-impact analytical work directly influencing rider satisfaction and product evolution:

• Own comprehensive end-to-end analysis of rider experience, establishing frameworks and KPIs.
• Develop and maintain executive-level dashboards tracking business health and product metrics.
• Collaborate with Engineering, Product, and Marketing to uncover insights driving rider improvements.
• Design and execute A/B tests evaluating new feature impacts on user engagement.
• Monitor rideshare product performance and diagnose issues for senior leadership presentations.
• Serve as the go-to expert for rider experience analytics, providing strategic thought partnership.
• Break down complex problems into actionable plans with measurable business outcomes.
• Communicate findings through tailored presentations to diverse stakeholders.
• Lead experimentation strategies optimizing long-term rider value and retention.
• Align analytical priorities with Lyft's overarching business strategy and mission.
• Build cross-functional trust through consistent delivery of high-quality insights.
• Champion data-driven culture by mentoring junior analysts on best practices.
• Stay ahead of industry trends in mobility analytics and two-sided marketplaces.

These responsibilities position you as a pivotal influencer in Lyft's product strategy, with direct visibility to leadership.

Qualifications

To succeed, you'll bring a strong quantitative foundation and proven analytics leadership:

• Bachelor's degree in statistics, applied mathematics, economics, engineering, or related field.
• 4+ years in data analytics, preferably in product or consumer tech environments.
• Demonstrated experience leading projects from hypothesis to impactful execution.
• Advanced proficiency in SQL for large-scale data querying and aggregation.
• Strong Python skills for data processing, modeling, and automation.
• Expertise in statistical methods, A/B testing, and experimentation frameworks.
• Exceptional storytelling with data through visualizations and presentations.
• Proven ability to translate complex analyses into business recommendations.
• Interpersonal savvy for cross-functional influence without authority.
• Passion for rideshare/mobility sector and customer-centric problem solving.

Preferred qualifications include advanced degrees, experience with two-sided markets, and deep knowledge of user lifecycle analytics. If you've driven product growth through behavioral insights, this is your opportunity to scale your impact.

Salary & Benefits

Competitive compensation reflects the role's seniority: estimated $140,000 - $180,000 USD base annually, plus equity, bonuses, and comprehensive perks tailored for Canadian employees. Lyft's benefits package stands out in Toronto's competitive market:

• Extended health, dental, vision coverage with low deductibles.
• Mental health support via counseling and wellness apps.
• Generous family-building benefits including fertility assistance.
• Life and disability insurance for peace of mind.
• Retirement savings matching and financial planning resources.
• Unlimited vacation with recharge encouragement.
• Professional growth stipends for certifications like Google Data Analytics.
• Daily Lyft ride credits for commuting.
• Hybrid work flexibility in modern Toronto offices.
• Team offsites, volunteer days, and cultural celebrations.

This holistic package supports your professional ambitions and personal well-being.

Why Join Lyft?

Lyft isn't just a rideshare company—it's a mission-driven organization connecting urban communities. In Toronto, you'll contribute to Canada's growing mobility ecosystem while enjoying Lyft's inclusive culture. Our purpose: serve and connect, creating spaces where everyone thrives.

As an Analytics Lead, you'll gain exposure to massive datasets, cutting-edge ML applications, and direct product influence. Toronto's role taps into North American operations, offering global impact with local roots. Past hires have advanced to Director levels within 2-3 years, fueled by Lyft's growth trajectory.

Benefits extend beyond compensation: mentorship from data science veterans, hackathons, and equity in a publicly-traded innovator. Join a team obsessed with rider delight, where your insights directly improve millions of trips daily.

How to Apply

Ready to lead analytics at Lyft? Submit your resume highlighting SQL/Python projects and A/B testing wins. Include a portfolio of dashboards or case studies. Lyft's Toronto hiring process includes:

1. Resume screen for quantitative experience.
2. Technical SQL/Python assessment.
3. Case study on rider analytics scenario.
4. Cross-functional panel interviews.
5. Leadership presentation.

Applications reviewed on rolling basis. Toronto candidates prioritized, with visa support possible. Equal opportunity employer committed to diversity.

Word count: 1624