Join Lyft's Driver Segments team as the Analytics Lead, focused on leveraging data to drive adoption and growth. Enhance the rider and driver experience through actionable insights and metrics.
This role positions you at the intersection of analytics, product development, and stakeholder engagement. You will manage key analytical frameworks, uncover opportunities for driver segments, and develop products like Women+ Connect. Your insights will guide Lyft's strategy and elevate how drivers interact with the platform.
Key Responsibilities:
- Generate frameworks for informed decision-making
- Identify growth potential within key driver segments
- Automate reporting to deliver insights on performance
- Help shape product strategy using data analysis
- Present results to cross-functional and senior teams
Requirements:
- Minimum 5 years in data science or consulting roles
- Proven leadership in cross-functional project settings
- Strong communication and data storytelling skills
- Skills in developing analytics frameworks
- Initiative-taking attitude with a results-driven approach
Bring your analytical expertise to Lyft to promote sustainable growth in the driver community.
Lyft Driver Segments Analytics Lead in Toronto employer: Lyft, Inc.
Lyft is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and collaboration is key. As a Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a fast-paced environment, all while contributing to meaningful projects that redefine transportation. With a strong emphasis on employee growth and development, Lyft offers numerous resources and support for your career advancement, making it an ideal place for those looking to make a significant impact.
