Analytics Lead — Urban Mobility Insights

Visa Hunt

Toronto

Hybrid

CAD 96,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Extended health and dental coverage
Mental health benefits
Family building benefits
Child care and pet benefits
Lyft Health Savings Account
RRSP plan
Flexible paid time off
Parental leave (18 weeks)
Subsidized commuter benefits

Job summary

Lyft Urban Solutions (LUS) is North America’s leader in micromobility, delivering data-driven insights to optimize bikeshare and scootershare operations in Toronto and beyond. We seek a Data Analyst to partner with Product, Ops, Policy, Engineering and Finance to shape pricing, features and infrastructure investments.

The ideal candidate has 3-5+ years in data analytics, strong SQL, and experience creating dashboards and data visualizations to drive actionable business outcomes.

Qualifications

  • 3-5+ years of data analytics in a high-growth environment.
  • Bachelor's Degree or equivalent relevant professional experience.
  • Strong SQL and quantitative analysis capabilities.

Responsibilities

  • Partner with cross-functional teams to conduct deep-dive analyses and propose solutions.
  • Develop scalable reporting processes and dashboards.
  • Forecast operational requirements and investments to maintain service levels.
  • Deliver data quickly, reliably and accurately to city partners.
  • Monitor KPI performance and present findings to leadership.

Skills

SQL
Python
Data analytics
Dashboarding
Communication
Stakeholder management
Ambiguity tolerance

Education

Bachelor's Degree or equivalent

Job description

Lyft Urban Solutions (LUS) is North America’s leader in micromobility, delivering data-driven insights to optimize bikeshare and scootershare operations in Toronto and beyond. We seek a Data Analyst to partner with Product, Ops, Policy, Engineering and Finance to shape pricing, features and infrastructure investments.

The ideal candidate has 3-5+ years in data analytics, strong SQL, and experience creating dashboards and data visualizations to drive actionable business outcomes.

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