data
Posted 1 weeks agoData Analyst, People Analytics
at lyft
Toronto, CanadaHybrid
Responsibilities
- Build and maintain ThoughtSpot dashboards and liveboards for a broad stakeholder audience including recruiters, People Team members, HRBPs, managers, and executives
- Build 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 decisions
- Collaborate with systems and operations partners to improve upstream data quality and enable better downstream analytics
Requirements
- 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.
- 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.
- You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities:
- Explore 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 yet
- Communicate fluently across technical and non-technical audiences — from SQL-level data discussions to exec-facing summaries
- experience in data or business analytics
- Experience with ThoughtSpot or a comparable modern BI platform; enthusiasm for AI-assisted analytics and a curiosity about what those tools unlock for people data specifically
- Familiarity 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 preferred •
- Experience 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 analysis •
- Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
Experience
- Pull together ad-hoc datasets from disparate sources to answer discrete analytical questions quickly and accurately Experience: 4+ years of
- 3+ years of SQL experience, with comfort pulling from complex, multi-source data environments •
Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.
- Hourly team members get 15 days paid time off, with an additional day for each year of service
- 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.
- Subsidized commuter benefits and Lyft ride credits
- Your recruiter can share more information about the various in-office perks Lyft offers.
- The expected base pay range for this position in the Toronto area is CAD $90,000 - CAD $112,500, 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.
Additional details
- 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.
- 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.
- Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting expectations, and delivering high-quality analytical outputs
- Partner with Talent and People team leads to define key metrics and help them tell meaningful stories with their data
- Translate analytical findings into clear, actionable insights for both People leadership and senior executives
- Experience building and maintaining analytical models that others rely on Benefits:
- RRSP plan with company match to help save for your future
- The policy allows team members to take off as much time as they need (with manager approval).
- Lyft is committed to creating an inclusive workforce that fosters belonging.