Data Analyst, SMB Self-Serve

At Lyft, a Most Loved Workplace® certified employer in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>

<p>Data and analytics are at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to support our Self-Serve segment — the fastest-growing part of Lyft's B2B portfolio, serving small and mid-size businesses across North America. This is a hands-on role for an analyst who is energized by turning product and customer data into insights that shape strategy — and who builds those insights on a foundation others can trust and reuse.</p>

<p>You will be the dedicated analytical partner to the Self-Serve product team, measuring how new features — a redesigned signup experience, onboarding improvements, and lifecycle campaigns — drive customer activation and growth. You'll own the funnel from acquisition through engagement, define the metrics that matter, and deliver the insights that inform where the business invests next. The ideal candidate pairs analytical rigor with a builder's instinct — turning recurring questions into well-defined, reusable datasets instead of one-off answers — and can translate findings into a clear narrative for both technical and non-technical audiences.</p>

<h2><strong>Responsibilities:</strong></h2>

<ul>

<li>Produce high-impact analyses on Self-Serve performance that directly inform product and go-to-market strategy</li>

<li>Own the Self-Serve funnel — acquisition, signup, onboarding, and engagement — building the dashboards and datasets that give the team real-time visibility into product health</li>

<li>Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question</li>

<li>Partner closely with Product and Engineering to validate instrumentation and surface data gaps before they distort the funnel or new features launch — catching the data quality issues that stay invisible until someone goes looking</li>

<li>Turn recurring reporting into well-defined, reusable datasets, replacing one-off queries with durable foundations others can build on</li>

<li>Identify recurring workflows worth automating, and help build the prompts, context, and guardrails that make AI analytics tooling reliable for the wider team</li>

<li>Conduct deep-dive analyses and design experiments to establish conversion baselines, measure business impact, and uncover the “why” behind performance trends</li>

<li>Partner with Data Science & Analytics, Marketing, and other cross-functional stakeholders to inform strategy and drive decisions</li>

<li>Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences</li>

</ul>

<h2><strong>Experience: </strong></h2>

<ul>

<li>Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields</li>

<li>3+ years of experience in a data analytics or business intelligence role, ideally in a product, growth, or B2B context</li>

<li>Proficiency in SQL — able to write structured and efficient queries on large data sets</li>

<li>Experience with funnel analytics, conversion measurement, and A/B testing (preferred)</li>

<li>Proficiency in a data visualization tool like Tableau, Looker, Mode, or similar</li>

<li>Experience with Python for data analysis and automation is a strong plus</li>

<li>Familiarity with modern data stack tooling (Airflow, dbt) is a plus</li>

<li>Comfortable using AI coding and analytics tools — LLM assistants, agentic SQL/analysis workflows — to accelerate extraction, exploration, and reporting, while reviewing and validating every query, result, and insight before it reaches stakeholders; you own the correctness of the output, not the tool</li>

<li>A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build</li>

<li>Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights</li>

<li>Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly</li>

<li>A strong attention to detail and a commitment to data accuracy and integrity</li>

<li>Ability to collaborate across functions, manage competing priorities, and drive projects to completion</li>

</ul>

<h2><strong>Benefits:</strong></h2>

<ul>

<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>

<li>Mental health benefits</li>

<li>Family building benefits</li>

<li>Child care and pet benefits</li>

<li>Access to a Lyft funded Health Care Savings Account</li>

<li>RRSP plan with company match to help save for your future</li>

<li>In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service </li>

<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>

<li>Subsidized commuter benefits and Lyft ride credits</li>

</ul>

<p>Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Lyft policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.</p>

<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>

<p>The expected base pay range for this position in the Toronto area is CAD $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>

<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>

<p>This job fills an existing vacancy.</p>

Want to learn more about what it's like to work at Lyft? View our full profile.