Analytics Lead, Autonomous Vehicles

Rozgoo; Toronto; On-site; CAD 170,000 - 255,000; Full time

Job summary

Lyft is seeking an Analytics Lead to drive data-driven decisions across AV Depot Operations and the Rideshare network. You will partner with Operations, Finance, Product, Data Science, and Engineering to build scalable insights and actionable recommendations.

You will develop reports, dashboards and analytical tools, own KPI definitions, and collaborate with FP&A on P&L modelling to improve service levels and operational rigor in a fast-paced, innovative environment.

Qualifications

• Strong technical skills and ability to lead cross-functional projects.
• Ability to roll up sleeves and work in ambiguity in a fast-paced environment.
• Excellent collaboration with Operations, Finance, Product, Data Science and Engineering.

Responsibilities

• Leverage technical skills to build reports, dashboards and tools for stakeholders.
• Develop insights through analysis to deliver strategic recommendations and improve business performance.
• Collaborate with external partners to communicate data needs for tracking service levels and data requests.
• Define critical KPIs and metrics to support cross-functional teams and improve operational rigor.
• Engage with FP&A on P&L management and financial modeling.
• Bridge Operations with Tech across the vehicle lifecycle and fleet operations.

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft stands at the very center of autonomous vehicle (AV) innovation by uniting the operational power of comprehensive Fleet Management with our world-class Rideshare network. Through Flexdrive, we are revolutionizing transportation by building the operational backbone for AV fleets— pioneering this new chapter with our first AV depot in Nashville, Tennessee. Lyft brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs.

To strengthen our efforts, we are hiring an Analytics Lead to help us make data driven decisions. As an Analytics Lead in the autonomous space, this role will uniquely be exposed to both AV Depot Operations and the AV Rideshare network. As we build the future of mobility from the ground up, we are looking for a strong thought leader and executor who is passionate about driving data driven decisions and energized by solving complex problems. You will partner with a wide range of stakeholders – Operations, Business, Finance, Product, Data Science, Engineering and many others. This role will report into the Senior Analytics Manager within Lyft’s Global Growth Org with opportunities for senior leadership visibility.

The ideal candidate - You have strong technical skills, are team-driven and have a growth mindset. You can roll-up your sleeves to undertake large cross functional projects. You are comfortable navigating the ambiguity of innovative projects and operate effectively in fast-paced environments. The Autonomous industry excites you and you are looking for the chance to drive high impact projects in this space as Lyft engineers next-generation transportation.

Responsibilities:

• Leverage technical skills to build reports, dashboards and tools for stakeholders
• Develop insights through analysis to build informed narratives, deliver strategic recommendations and provide actionable guidance that optimizes business performance
• Work with external partners to communicate data needs that enable success in tracking toward critical service levels and manage incoming data requests
• Work with business and leadership to define critical KPIs and metrics to support cross-functional teams, manage performance, create operational rigor and proactively seek ways to improve the business
• Ability to engage with FP&A partners on P&L Management and financial modeling
• Bridge Operations with Tech – become an expert in the vehicle lifecycle, from the day-to-day Fleet Operations that keep AV fleets running smoothly to the tech that