Data Analyst, SMB Self-Serve

About the role

Lyft’s mission is built around service and connection, with a workplace designed so people can feel included and do their best work. The company is hiring a Data Analyst to support its Self-Serve business, the fastest-expanding part of Lyft Business’s B2B offering for small and mid-sized companies across North America.

This is a practical, hands-on analytics role focused on converting product and customer data into business insight. You’ll work as the main analytical partner to the Self-Serve product team, helping measure how product changes such as a new signup flow, onboarding updates, and lifecycle campaigns affect activation and growth. The role also calls for building trusted, reusable data assets so the same questions can be answered consistently across the team.

What you’ll do

• Deliver analyses with direct impact on product direction and go-to-market decisions for the Self-Serve business.
• Take ownership of the full funnel, from acquisition through signup, onboarding, and engagement, and create dashboards and datasets that keep the team informed in real time.
• Set clear definitions for core business metrics so reports, dashboards, and tools all produce the same answer.
• Work with Product and Engineering to confirm tracking is correct and identify data gaps before they affect reporting or new launches.
• Convert repeated reporting needs into durable datasets and reduce reliance on one-off queries.
• Spot opportunities to automate recurring workflows and help shape AI-enabled analytics tools with the right prompts, context, and safeguards.
• Run deep-dive analysis and experiment design to establish baselines, measure impact, and explain the reasons behind performance changes.
• Collaborate with Data Science & Analytics, Marketing, and other partners to guide strategy and decision-making.
• Present findings in a clear, structured story for both senior leaders and non-technical stakeholders.

What we’re looking for

• A degree, or equivalent work experience, in analytics, statistics, economics, computer science, or another quantitative discipline.
• At least 3 years of experience in data analytics or business intelligence, preferably in product, growth, or B2B environments.
• Strong SQL skills and the ability to write efficient, organized queries on large datasets.
• Prior exposure to funnel analysis, conversion measurement, and A/B testing is preferred.
• Experience with a visualization platform such as Tableau, Looker, Mode, or a similar tool.
• Python experience for analysis and automation is a strong advantage.
• Familiarity with modern data stack tools such as Airflow and dbt is helpful.
• Comfort using AI-assisted coding and analytics tools while still validating every query, result, and recommendation independently.
• Demonstrated ability to influence business decisions through analysis and ownership of the metrics and datasets you create.
• Strong problem-solving skills and the ability to break ambiguous challenges into clear, actionable work.
• Excellent communication skills for explaining complex data to different audiences.
• High attention to detail and a strong commitment to data accuracy and integrity.
• Ability to work across functions, manage multiple priorities, and deliver work through to completion.

Benefits and perks

• Extended health and dental coverage options, plus life insurance and disability coverage.
• Mental health support.
• Family-building support.
• Child care and pet benefits.
• Access to a Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Salaried employees receive flexible paid time off, allowing time away as needed with manager approval, in addition to provincial holidays.
• Hourly employees receive 15 days of paid time off, plus one additional day for each year of service.
• New parents receive 18 weeks of paid time off as a top-up benefit alongside provincial programs; biological, adoptive, and foster parents are eligible.
• Subsidized commuter benefits and Lyft ride credits.

Workplace and hiring details

This position is based in Toronto, Ontario, Canada and follows a hybrid in-office schedule. Team members are expected in the office at least 3 days per week, including Mondays, Wednesdays, and Thursdays. Working from anywhere is allowed for up to 4 weeks per year. The company considers the 3-day in-office requirement an essential part of this hybrid role.

Lyft is committed to an inclusive and respectful workplace and provides accommodations for people with disabilities during the application and hiring process, as required by law. The company also prohibits harassment and discrimination and states that applicants from all protected groups are welcome.

The expected base salary range for this role in the Toronto area is CAD 102,000 to CAD 127,500 per year, excluding possible equity, bonus, and benefits. Compensation may vary based on qualifications, experience, and location.

Lyft may use artificial intelligence to help screen applications, but final hiring decisions are made by Lyft employees.

This position is for an existing vacancy.

Eligibility

Applicants should have a background in analytics or a closely related quantitative field, along with several years of relevant experience. Candidates who can work in a hybrid onsite arrangement in Toronto are a fit for this role.