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Analytics Lead, Safety & Customer Care at Lyft · Lumi · Lumi

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Lyft· Posted 2026-06-04

Analytics Lead, Safety & Customer Care

New York Officefull timeRemote

senior

$118k–$148k

H1B: yes

Lyft The Analytics Lead at Lyft partners with cross-functional teams to improve customer support experience through data-driven insights. This role involves designing A/B tests, building dashboards, and monitoring KPIs to drive business decisions.

Responsibilities

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

Qualification

Exceptional communication (listeningAdvanced degrees are preferred

Required

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

Preferred

Advanced degrees are preferred

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave
Wellness

Company

Lyft

View company page

1001-5000 employees

Transportation

Founded 2012

Source: greenhouse

Active within the past hour

Remote-friendly

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Exceptional communication (listeningAdvanced degrees are preferred

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