Data Analyst, People Analytics

Responsibilities

• Serve as the first point of contact for incoming data requests across the People organization, scoping needs, setting expectations, and delivering high-quality analytical outputs.
• Build and maintain ThoughtSpot dashboards and liveboards for recruiters, People Team members, HRBPs, managers, and executives.
• Explore and operationalize ThoughtSpot AI capabilities, including Spotter and AI Highlights, to surface proactive insights for People stakeholders.
• Build and administer Qualtrics survey programs, including survey design, distribution logic, and close-out; translate results into dashboards and ad-hoc analyses.
• Partner with Talent and People team leads to define key metrics and communicate meaningful data stories.
• Translate analytical findings into clear, actionable insights for People leadership and senior executives.
• Communicate across technical and non-technical audiences, from SQL-level data discussions to executive summaries.
• Collaborate with systems and operations partners to improve upstream data quality and downstream analytics.
• Assemble ad-hoc datasets from disparate sources to answer analytical questions quickly and accurately.

Requirements

• 4+ years of experience in data or business analytics.
• 3+ years of SQL experience, with comfort working in complex, multi-source data environments.
• Experience with ThoughtSpot or a comparable modern BI platform.
• Enthusiasm for AI-assisted analytics and curiosity about its applications to people data.
• Familiarity with Workday or a comparable HCM, including business processes and data models.
• Experience building and maintaining analytical models that others rely on.
• Understanding of people and recruiting data, including organizational structures, headcount definitions, privacy considerations, and data quality nuances.

Nice-to-haves

• Familiarity with Greenhouse or a comparable applicant tracking system.
• Experience with Qualtrics or a comparable survey platform, including hands-on program administration and transforming raw survey data into stakeholder-ready analysis.

Compensation and Benefits

• Base pay range: CAD $90,000–$112,500 for the Toronto area, excluding potential equity, bonus, and benefits.
• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health benefits.
• Family-building benefits.
• Child care and pet benefits.
• Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off, with an additional day for each year of service.
• 18 weeks of paid parental leave for biological, adoptive, and foster parents.
• Subsidized commuter benefits and Lyft ride credits.
• Hybrid schedule requiring at least three days per week in the office, including Mondays, Wednesdays, and Thursdays; flexibility to work from anywhere for up to four weeks per year.