Advance customer support through data analytics as a Lead Data Analytics professional 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 performance Requirements:
- 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 requirements In this dynamic role, leverage your analytical expertise to transform customer support at Lyft.

📌 Lead Data Analytics at Lyft (Toronto)
🏢 Socket.dev
📍 Toronto