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LyftLyftSan Francisco, CA

Analytics Lead, Safety & Customer Care

Leads analytics for Safety & Customer Care, partnering with cross-functional teams to deliver data-driven insights, design A/B tests, build dashboards, and monitor KPIs to improve customer support. Requires 2+ years experience, SQL/Python proficiency, and quantitative degree.

118k – 148k/yr
Hybrid2+ YOEData Analytics

About the role

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

Experience

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
  • 2+ 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
  • Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources

Benefits

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Skills

SQLPythonA/B TestingDashboardsData AnalysisKpi AnalysisStatistics

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