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
• Strong problem-solving and communication skills
• Ability to independently define business requirements

In this agile role, leverage your analytical expertise to transform customer support at Lyft.
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📌 Lead Data Analytics at Lyft (Ontario)
🏢 Socket.dev
📍 Ontario