At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Central Market Management team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Analyst leads take on a variety of problems ranging from shaping critical business decisions to deep dive analysis and identifying investment opportunities. We’re looking for a passionate, driven Analytics Lead to take on some of the most interesting and impactful problems in ridesharing.
We are looking for a junior analyst to join the Strategic Planning and P&L management team within the Rideshare Central Management organization.This individual will work on key initiatives for Lyft’s Rideshare business and work closely with Data Scientist and Analysts in the team to shape Lyft’s future investment strategies.
The P&L management team sits within the Central Market Management organization and reports through the Head of Rideshare. Our team is heavily cross-functional as we are at the intersection between Product, Engineering, Finance, Data Science, and Operations. You’ll own workstreams, analyses, modeling, strategy, and business metrics. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact.

EXPERIENCE:

• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• 3+ years experience in management consulting, investment firms, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in strategic investment, prioritizing against different projects, and leading teams in deep dive analysis, business metrics, and implementation

SKILLS:

• Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
• Ability to influence, negotiate, and inspire others in a fast-moving environment
• Excellent organization, planning skills, and attention to detail
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong financial knowledge and understanding of profit and loss
• Advanced analytical and problem solving skills
• Proficiency in Spreadsheet and SQL; Python a plus

• Leveraging analytics and data science to analyze business problems
• Working closely with investment lever teams to recommended strategies in quarter investments
• Data manipulation and business metrics reporting
• Partner with Data Scientist and Engineers to improve models and processes
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders