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Analytics Lead, Safety & Customer Care

lyft· 38 open roles

New York City, NY On-siteFull-time3 days ago
Salaryest.
$120,000 - $180,000
Experience
Mid
Job Type
Full-time
Posted
3 days ago
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About This Role

The Analytics Lead for Safety & Customer Care at Lyft will partner with cross-functional stakeholders to identify opportunities and design solutions for improving customer support experience. The ideal candidate is a critical thinker and exceptional problem solver with strong analytical expertise. They will leverage their skills to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The role involves working closely with various teams to drive business forward and improve customer support experience.

Key ResponsibilitiesAI-extracted

  • 1
    Partner with cross-functional stakeholders to achieve business goals
  • 2
    Develop frameworks and scalable processes to drive decision-making and prioritization
  • 3
    Define metrics to measure success of strategic initiatives and build dashboards to track metrics
  • 4
    Design A/B tests and execute analyses to evaluate impact of new product features and operational improvements
  • 5
    Monitor and diagnose KPI performance and present findings to senior leadership

RequirementsAI-extracted

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering
  • 5+ years of hands-on technical experience in a data science role or equivalent analytical role
  • Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
  • Strong problem-solving and analytical skills with ability to transition between detailed data and high-level business problems
  • Exceptional communication skills with ability to present findings and recommendations to various audiences

Perks & BenefitsAI-extracted

Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
401(k) plan with company match
Typically: paid time off and holidays
Typically: opportunities for professional growth and development

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