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Home›Jobs›Lyft›Analytics Lead, Hardware and Supply (LUS)
Lyft

About Lyft

The friendly ride-sharing alternative to Uber

🏢 Tech👥 1001+ employees📅 Founded 2012📍 China Basin, San Francisco, CA💰 $4.9b⭐ 3.6
B2CTravelTransportMobilityRidesharing

Key Highlights

  • Headquartered in San Francisco, CA
  • Over 100 million rides completed
  • $4.9 billion raised in funding
  • Acquired PBSC Urban Solutions in 2022

Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...

🎁 Benefits

Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...

🌟 Culture

Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...

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Lyft

Analytics Lead, Hardware and Supply (LUS)

Lyft • New York, NY

Posted 3w ago🏛️ On-SiteMid-LevelAnalytics lead📍 New york
Apply Now →

Skills & Technologies

SQLData analysisData visualization

Overview

Lyft is seeking an Analytics Lead to drive data-driven decision-making in hardware and supply operations. You'll collaborate with cross-functional teams to analyze performance and improve operational processes. This role requires strong analytical skills and experience in data analysis.

Job Description

Who you are

You have a strong background in data analysis, with experience in leveraging data to drive decision-making and improve operational processes. You are skilled in SQL and have a knack for data visualization, allowing you to communicate complex insights effectively. You thrive in collaborative environments, working closely with product, engineering, and operations teams to root cause issues and propose actionable solutions. Your analytical mindset enables you to tackle complex challenges in micromobility, and you are passionate about using data to shape the future of urban mobility. You understand the importance of monitoring performance metrics and are proactive in identifying areas for improvement. You are comfortable working in a fast-paced environment and can adapt to changing priorities while maintaining a focus on delivering impactful results.

What you'll do

In this role, you will partner with various stakeholders, including product, engineering, data science, and operations teams, to conduct deep-dive analyses that address critical issues affecting hardware performance and system health. You will develop frameworks and business logic to streamline reporting processes, ensuring that data-driven insights are readily available for decision-making. Your work will directly impact strategic decisions regarding fleet deployment, staffing, and product changes, ultimately enhancing the performance experience for Lyft's customers. You will also play a key role in monitoring and mitigating rideable theft and loss, contributing to the overall success of Lyft's operations. As you collaborate with cross-functional teams, you will be responsible for communicating your findings and recommendations clearly, ensuring that all stakeholders are aligned and informed. Your analytical insights will be crucial in driving continuous improvement within the organization, and you will have the opportunity to shape the future of micromobility through your work.

What we offer

Lyft offers a competitive salary range for this position in the New York City area, with a pay range of $108,000 - $135,000, not inclusive of potential equity offerings, bonuses, or benefits. We value a diverse and inclusive work environment where all team members can thrive. You will have the opportunity to work on impactful projects that shape urban mobility and contribute to a mission-driven company. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.

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