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At Lyft, our mission is to serve and connect people. We begin by fostering an open, inclusive, and diverse community within our own organization.

As a Data Analyst on the Mapping team, you’ll work alongside a world-class team of engineers, product managers, and designers to enhance the quality of recommended routes and improve the accuracy of travel time estimates. We’re seeking a motivated and passionate Data Analyst who is eager to explore spatial data and contribute to building a top-tier mapping product that ensures safe, efficient, and seamless navigation for our rideshare drivers.

Our team thrives on cross-functional collaboration, working closely with Product, Engineering, Operations, and Data Science. You’ll use data and analytical thinking to shape our mapping products and make customer-focused business decisions. This includes identifying opportunities, setting priorities, and measuring the impact of new features. You’ll tackle some of the most critical challenges in mapping, such as:

• What defines a high-quality route?

• How can we enhance map data to improve route recommendations?

• Are we meeting our travel time estimation commitments to customers?

• How do we benchmark and measure the success of our services?

As a key member of the Mapping Science team, you’ll lead various workstreams, analyses, modeling, and strategy development to drive the growth of the Lyft ecosystem at scale. You’ll collaborate across teams, synthesizing input from stakeholders to deliver insights and actionable recommendations that influence business and product decisions.

Responsibilities:

• Use data and analytical frameworks to identify growth and efficiency opportunities.

• Define metrics to measure product health and user experience for riders and drivers.

• Develop dashboards and models to provide actionable insights to teams.

• Monitor product and service performance to guide decision-making and prioritization.

• Leverage data to shape business strategy and product roadmaps.

• Partner with Product, Engineering, Operations, Marketing, and Data Science teams.

• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders.

Qualifications:

• 2+ years of experience in management consulting, operations, strategic data science/analytics roles in tech, or equivalent roles in high-growth startups.

• Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees are a plus).

• Proficiency in SQL, with the ability to analyze large datasets and integrate data from multiple sources.

• Experience in programming, particularly with data science and analytics libraries in Python or R.

• Strong storytelling skills, with the ability to present recommendations to both technical and non-technical audiences.

• Expertise in data visualization tools to deliver actionable insights and reusable frameworks.

• Strong product sense and understanding of user experience.

• Proven ability to influence, negotiate, and inspire in a fast-paced environment.

• Excellent organizational, planning, and attention-to-detail skills.

• A balance of intellectual curiosity and a hands-on, execution-oriented mindset.

• Experience with ETL pipelines and online experimentation is a plus.

Benefits:

• Comprehensive health, dental, life, and disability insurance options.

• Mental health and family-building benefits.

• Childcare and pet care support.

• Access to a Lyft-funded Health Care Savings Account.

• RRSP plan to help you save for the future.

• Flexible paid time off for salaried employees (with manager approval); hourly employees receive 15 days of paid time off, plus an additional day for each year of service.

• 18 weeks of paid parental leave for biological, adoptive, and foster parents, designed to complement provincial programs.

• Subsidized commuter benefits.

Commitment to Diversity and Inclusion:
Lyft is dedicated to building a diverse workforce and providing equal employment opportunities to all individuals, regardless of race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other protected basis. Lyft also maintains a zero-tolerance policy for harassment and is committed to providing accommodations for persons with disabilities during the application and hiring process. Please contact your recruiter if you require accommodations.

Work Location and Schedule:
This role follows a hybrid schedule, with team members expected to work in the office three days per week (Mondays, Wednesdays, and Thursdays). Additionally, hybrid roles offer the flexibility to work remotely for up to four weeks per year.

Compensation:
The expected base pay range for this position in the Toronto area is CAD CAD70,000−CAD87,500. Salary ranges depend on factors such as qualifications, experience, and location. This range does not include potential equity, bonuses, or benefits. Your recruiter will provide more details during the hiring process.

Join Lyft and help us create a better, more connected world!