Advance customer support through data analytics as a Lead Data Analytics skilled at Lyft. Collaborate with diverse teams to enhance business decisions with actionable insights that prioritize customer experience.As a key player in the Safety & Customer Care team, you'll leverage your analytical skills and technical expertise to design solutions that significantly improve support interactions. The ideal candidate will have a degree in a quantitative field and over two years of hands-on experience in data science or analytical roles, specifically in high-growth environments. You’ll build meaningful relationships across functions to help Lyft’s customers feel valued.Key Responsibilities:
Partner with cross-functional teams to meet business objectives




Develop frameworks to drive decision-making processes
Define and measure metrics for support initiatives
Design A/B tests for product enhancements
Present findings to senior leadership based on KPI performanceRequirements:
Degree in statistics, economics, or related field
2+ years of analytical or data science experience
Proficient in SQL and Python
Solid problem-solving and communication skills
Ability to independently define business requirementsIn this energetic role, leverage your analytical expertise to transform customer support at Lyft.#J-18808-Ljbffr

📌 Lead Data Analytics At Lyft Toronto
🏢 Socket.dev
📍 Toronto