Analytics Lead, Safety & Customer Care

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.

The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction.  If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.”

As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support 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 a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward.

• →Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals 
• →Develop frameworks and scalable processes to drive decision-making and prioritization
• →Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
• →Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
• →Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
• →Monitor and diagnose KPI performance and present findings to senior leadership

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
• 5+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
• Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level 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
• Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources