# Data Analyst, People Analytics

**Company**: Lyft
**Location**: Toronto, ON
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/lyft/jobs/8555335002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bff2b416-da0

## Description

The People Analytics team at Lyft exists to build data trust , turning people data into clear, reliable insights that help HR Business Partners, talent leaders, and executives make better decisions.

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.

## Responsibilities:

- 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

- Build and maintain ThoughtSpot dashboards and liveboards for a broad stakeholder audience including recruiters, People Team members, HRBPs, managers, and executives

- 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

- 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

- 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

- Communicate fluently across technical and non-technical audiences , from SQL-level data discussions to exec-facing summaries

- Collaborate with systems and operations partners to improve upstream data quality and enable better downstream analytics

- Pull together ad-hoc datasets from disparate sources to answer discrete analytical questions quickly and accurately

## Experience:

- 4+ years of experience in data or business analytics

- 3+ years of SQL experience, with comfort pulling from complex, multi-source data environments

- 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

- Experience building and maintaining analytical models that others rely on

- Understanding of the nuances of people and recruiting data , org structures, headcount definitions, privacy considerations, and the ways these datasets can surprise you

## Benefits:

- Extended health and dental coverage options, along with life insurance and disability benefits

- Mental health benefits

- Family building benefits

- Child care and pet benefits

- Access to a Lyft funded Health Care Savings Account

- RRSP plan with company match to help save for your future

- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). 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

## Skills

### Required
- SQL
- ThoughtSpot
- Qualtrics
- Workday
- Greenhouse
- data analytics
- business analytics

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8555335002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)