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Home›Jobs›Lyft›Analytics Lead, Product Insights - Rider Experience
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, Product Insights - Rider Experience

Lyft • Toronto, Canada

Posted 2d agoMid-LevelData analyst📍 Toronto
Apply Now →

Skills & Technologies

SQLData analysisData visualization

Overview

Lyft is hiring a Data Analyst for the Rider Experience team to drive insights and improve customer experience. You'll work closely with cross-functional teams and leverage your analytical skills to deliver actionable recommendations. This role requires expertise in data analysis and visualization.

Job Description

Who you are

You have a strong background in data analysis, with a focus on improving customer experiences through actionable insights. You are a critical thinker and exceptional problem solver, capable of identifying business opportunities and driving impact through data-centric presentations. Your experience includes managing end-to-end analysis processes, creating frameworks, and defining key metrics that guide decision-making. You thrive in collaborative environments, working closely with cross-functional partners such as Engineering, Product, and Marketing to deliver data-driven insights. You are passionate about using data to shape product and business strategy, and you have a keen eye for monitoring and diagnosing product performance.

Desirable

Experience with data visualization tools and techniques is a plus, as is familiarity with dashboard development and business health monitoring. You are comfortable presenting findings to senior leadership and have a knack for translating complex data into clear, actionable recommendations. A background in rideshare or similar industries would be beneficial, but not required.

What you'll do

In this role, you will manage and own the end-to-end analysis on rider experience, ensuring that you create frameworks and define key metrics that align with Lyft's business strategy. You will collaborate with various teams to identify opportunities for improving the rider experience, leveraging your analytical expertise to deliver insights that drive quality business decisions. Your responsibilities will include monitoring product performance, diagnosing issues, and presenting your findings to senior leadership. You will also be tasked with developing dashboards that provide ongoing visibility into business health, enabling data-driven prioritization of initiatives. Your work will directly impact the quality of the rideshare experience for Lyft's customers, making your role crucial to the company's mission.

What we offer

Lyft fosters a work environment where all team members belong and have the opportunity to thrive. You will be part of a team that values collaboration and innovation, with access to resources that support your professional growth. The company is committed to using data and analytics to inform decision-making, ensuring that your contributions will have a meaningful impact on the business. Lyft also offers competitive compensation and benefits, which will be discussed during the hiring process. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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