Airports Analytics Lead: Pricing, Growth & Insights

Socket.dev

Toronto

Hybrid

CAD 102,000 - 128,000

Full time

4 days ago
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Benefits offered by this job

Extended health
Mental health benefits
Family benefits
Child care & pet benefits
Health Savings Account
RRSP match
Paid time off
Parental leave
Commuter benefits

Job summary

Lyft seeks an Analytics Lead for the Airports team in Toronto to apply business acumen and data-driven thinking to pricing, earnings, and airport performance. You will partner with engineers, product managers, designers, and operations to translate insights into decisions, define metrics, and build dashboards.

Ideal candidates have 4–7+ years in strategic analytics, strong SQL, leadership, and excellent communication skills to influence product and marketplace outcomes.

Qualifications

  • 4–7+ years in strategic data science/analytics within tech or high-growth startups.
  • Proficient in SQL and capable of deep data analysis to derive actionable insights.
  • Experience leading high-visibility, cross-functional projects.

Responsibilities

  • Identify opportunities for growth and efficiency using data-driven frameworks, especially around pricing and earnings.
  • Establish metrics to measure health of products, business, and rider/driver experience.
  • Develop dashboards and analytics to monitor performance across regions and nationally.
  • Translate data insights into decisions by partnering with product, engineering, marketing, design and operations.
  • Present findings and recommendations to senior leadership and stakeholders.

Skills

Strategic analytics
SQL proficiency
Cross-functional leadership
Strong communicator
Business sense
Entrepreneurial mindset

Job description

Lyft seeks an Analytics Lead for the Airports team in Toronto to apply business acumen and data-driven thinking to pricing, earnings, and airport performance. You will partner with engineers, product managers, designers, and operations to translate insights into decisions, define metrics, and build dashboards.

Ideal candidates have 4–7+ years in strategic analytics, strong SQL, leadership, and excellent communication skills to influence product and marketplace outcomes.

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