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Lyft

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Be the first point of contact for People-org data requests while helping build Lyft's ThoughtSpot + AI analytics layer

A hands-on People Analytics analyst role at Lyft, triaging incoming data requests, building ThoughtSpot dashboards, and pushing into AI features (Spotter, AI Highlights) during a Tableau-to-ThoughtSpot migration. Interview will test SQL depth, BI dashboard/stakeholder-management skills, survey program experience (Qualtrics), and comfort with HR/people data nuances.

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What this interview tests

  • SQL across complex, multi-source data
  • BI dashboard building (ThoughtSpot/Tableau-class tools)
  • Survey program design & administration (Qualtrics)
  • HR/people data nuances (org structure, headcount, privacy)
  • Stakeholder communication from SQL details to exec summaries

Common question themes

Tell me about a time you scoped an ambiguous request from an HR or business stakeholder

Walk through a complex SQL query you wrote against multi-source data

How have you used or explored AI-assisted BI features like natural language querying

Describe a survey program you built or ran in Qualtrics from design to insight

What makes people/recruiting data different from other business data you've worked with

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