Product Analyst, Rider Experience

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.

Data and analytics are at the heart of Lyft’s products and decision-making. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. As a Product Analyst on the Rider Experience team, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving Rider’s experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. 

The ideal candidate is obsessed with improving customer experience with data insights, a critical thinker and exceptional problem solver who can identify business opportunities and drive impact and cross-functional alignment, shaping product and business strategy through data-centric presentations.

• →Manages and owns the end-to-end analysis on rider experience, including creating frameworks, defining key metrics, develop dashboards and monitoring business health to drive decision-making and prioritization based on Lyft's business, strategy, and mission
• →Work closely with cross-functional partners (e.g. Engineering, Product, Marketing) to deliver actionable data-driven insights and identify opportunities for continuously improving the rider experience 
• →Monitor and diagnose rideshare offerings product performance and present findings to senior leadership 
• →Creates and monitors product performance dashboards and communicates findings to cross-functional team
• →Act as a subject matter expert and thought partner in focused product area
• →Breaks down complex problems from end to end and leads execution towards business impact with clear goals. 
• →Design A/B testing and execute analyses to evaluate the impact of new product feature improvements

• Degree in a quantitative field (e.g. statistics, applied math, economics, engineering).
• 4+ years of  relevant work experience.
• Experience in leading data-driven projects from definition to execution. 
• Proficiency in SQL and Python. 
• Strong problem-solving and analytical skills with the ability to transition between data and business problems.
• Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question.
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively.
• Experience in online experimentation and statistical analysis.
• Passion for driving business impact with data.
• Preferred:
  • Advanced degrees in quantitative fields.
  • Experience with two-sided market problems.
  • Experience in driving product growth with data insights, including understanding user behaviors, long-term user value, and product lifecycle.