Analytics Lead, Safety & Customer Care
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About This Role
The Analytics Lead, Safety & Customer Care at Lyft will partner with cross-functional stakeholders to identify opportunities and design solutions for improving the customer support experience. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams. The role involves leveraging analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The Analytics Lead will work closely with cross-functional partners to deliver data-driven insights and continuously improve the customer support experience. The role is based in the San Francisco area and offers a hybrid schedule with in-office and remote work options.
Key ResponsibilitiesAI-extracted
- 1Partner with cross-functional stakeholders to achieve business goals and improve the customer support experience
- 2Develop frameworks and scalable processes to drive decision-making and prioritization
- 3Define metrics to measure the success of strategic initiatives and health of the support platform, and build dashboards to track metrics over time
- 4Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
- 5Monitor 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 in a high growth startup
- Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
- Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
- Exceptional communication skills with the ability to present findings and recommendations targeted to the audience in question
Perks & BenefitsAI-extracted
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