Analytics Lead, Product Insights - Rider ExperienceAt Lyft, our purpose is to serve and connect. We aim to cultivate a work environment where all team members belong and thrive. Data and analytics are at the heart of Lyft’s products and decision‑making. The Rider organization is focused on building a seamless, best‑in‑class rideshare experience for riders. As a Data Analyst on the Rider Experience team, you’ll partner directly with cross‑functional stakeholders to identify opportunities and design solutions for improving Rider’s experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer‑facing impact.ResponsibilitiesManages and owns the end‑to‑end analysis on rider experience, including creating frameworks, defining key metrics, developing dashboards and monitoring business health to drive decision‑making and prioritization based on Lyft's business, strategy, and missionWork closely with cross‑functional partners (e.G. Engineering, Product, Marketing) to deliver actionable data‑driven insights and identify opportunities for continuously improving the rider experienceMonitor and diagnose rideshare offerings product performance and present findings to senior leadershipCreates and monitors product performance dashboards and communicates findings to cross‑functional teamAct as a subject matter expert and thought partner in focused product areaBreaks down complex problems from end to end and leads execution towards business impact with explicit goals.Design A/B testing and execute analyses to evaluate the impact of new product feature improvementsExperienceDegree in a quantitative field (e.G. statistics, applied math, economics,
engineering)4+ years of relevant work experienceExperience in leading data‑driven projects from definition to executionProficiency in SQL and PythonStrong problem‑solving and analytical skills with the ability to transition between data and business problemsExceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in questionStrong interpersonal skills, with the ability to build relationships and trust across functions and work collaborativelyExperience in online experimentation and statistical analysisPassion for driving business impact with dataPreferredAdvanced degrees in quantitative fieldsExperience with two‑sided market problemsExperience in driving product growth with data insights, including understanding user behaviors, long‑term user value, and product lifecycleBenefitsExtended health and dental coverage options, along with life insurance and disability benefitsMental health benefitsFamily building benefitsChild care and pet benefitsAccess to a Lyft funded Health Care Savings AccountRRSP plan to help save for your futureIn addition to provincial observed holidays, salaried team members are covered under Lyft's versatile 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 serviceLyft 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.Subsidized commuter benefitsLyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.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 3 days per week 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.The expected base pay range for this position in the Toronto area is CAD $102,000 – CAD $127,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. The range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionResearch, Analyst, and Information Technology#J-18808-Ljbffr
📌 Analytics Lead, Product Insights - Rider Experience - C$102,000 - C$127,500 A Year (Toronto)
🏢 Lyft
📍 Toronto