Partner with Product, Engineering, Data Science Analytics, Business Operations and other cross-functional stakeholders to achieve business goals

Develop frameworks and scalable processes to drive decision-making and prioritization

Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time

Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements

Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience

Monitor and diagnose KPI performance and present findings to senior leadership

Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred

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 (listening, written, and oral) skills with the ability to present findings recommendations targeted to the audience in question

Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively

Analytics Lead, Safety & Customer Care

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Lyft

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