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.The People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We’re a small, high‑impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we’re not just replicating old dashboards — we’re rethinking what self‑service analytics looks like for a People team. That includes exploring ThoughtSpot’s AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There’s real greenfield work here, and we’re looking for someone who wants to help define what AI‑powered people analytics looks like at Lyft.ResponsibilitiesServe as the first point of contact for incoming data requests from across the People organization — scoping needs, setting expectations, and delivering high‑quality analytical outputsBuild and maintain ThoughtSpot dashboards and liveboards for a broad stakeholder audience including recruiters, People Team members, HRBPs, managers, and executivesExplore and operationalize ThoughtSpot’s AI capabilities — including Spotter and AI Highlights — to surface proactive insights for People stakeholders who may not know what question to ask yetBuild and administer survey programs in Qualtrics — including survey design, distribution logic,



and close‑out — and translate results into dashboards and ad‑hoc analyses that inform People team decisionsPartner with Talent and People team leads to define key metrics and help them tell meaningful stories with their dataTranslate analytical findings into clear, actionable insights for both People leadership and senior executivesCommunicate fluently across technical and non‑technical audiences — from SQL‑level data discussions to exec‑facing summariesCollaborate with systems and operations partners to improve upstream data quality and enable better downstream analyticsPull together ad‑hoc datasets from disparate sources to answer discrete analytical questions quickly and accuratelyExperience4+ years of experience in data or business analytics3+ years of SQL experience, with comfort pulling from complex, multi‑source data environmentsExperience with ThoughtSpot or a comparable up-to-date BI platform; enthusiasm for AI‑assisted analytics and a curiosity about what those tools unlock for people data specificallyFamiliarity with Workday or a comparable HCM (understanding the business processes and data model, not just surface‑level reporting)Familiarity with Greenhouse or a comparable ATS preferredExperience with Qualtrics or a comparable survey platform, including hands‑on program administration and the ability to move from raw survey data to a clean, stakeholder‑ready analysisExperience building and maintaining analytical models that others rely onUnderstanding of the nuances of people and recruiting data — org structures, headcount definitions, privacy considerations, and the ways these datasets can surprise youBenefitsExtended 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

📌 Data Analyst (People Analytics) (Toronto)
🏢 Lyft
📍 Toronto