Lyft
DataAnalyst,PeopleAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst, People Analytics at Lyft. Skills: SQL, ThoughtSpot, Data analysis, People analytics. Serve as first point of contact for data requests. Scope needs and set expectations”
What You'll Achieve.
Build data trust; Turn people data into clear, reliable insights; Help HR Business Partners make better decisions; Help talent leaders make better decisions; Help executives make better decisions; Reduce friction between business question and data answer; Inform People team decisions; Help them tell meaningful stories with their data
Industry & Context.
Analytical needs; Answer discrete analytical questions quickly and accurately
What They're Looking For.
Must Have
4+ years of experience in data or business analytics, 3+ years of SQL experience, Comfort pulling from complex, multi-source data environments, Experience with ThoughtSpot or a comparable modern BI, Familiarity with Workday or a comparable HCM, Experience with Qualtrics or a comparable survey platform, Ability to move from raw survey data to a clean, stakeholder-ready analysis, Experience building and maintaining analytical models
Nice to Have
Familiarity with Greenhouse or a comparable ATS, Curiosity about what AI tools unlock for people data
What You'll Do.
Serve as first point of contact for data requests
Scope needs and set expectations
Deliver high-quality analytical outputs
Build and maintain ThoughtSpot dashboards
Explore and operationalize ThoughtSpot AI capabilities
Build and administer survey programs in Qualtrics
Translate survey results into dashboards
Partner with Talent and People team leads
Tell meaningful stories with data
Translate findings into actionable insights
Communicate across technical audiences
Communicate across non-technical audiences
Collaborate with systems partners
Improve upstream data quality
Pull ad-hoc datasets from disparate sources
How You'll Work.
Team & Collaboration
Collaborate with systems and operations partners; Partner with Talent and People team leads; Work with HR Business Partners; Work with talent leaders; Work with executives
Communication Scope
Communicate fluently across technical and non-technical audiences; Presenting findings to a VP
Full Job Description
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. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting
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