Data Analyst, Operations Planning

Lyft Lyft · Consumer · New York, NY · LUS Central Operations

This role focuses on using data analytics to improve the performance of Lyft's bike and scooter markets. The Data Analyst will collaborate with various teams to identify opportunities, develop reporting frameworks, forecast operational needs, and conduct deep-dive analyses. The role requires strong SQL skills, the ability to work with ambiguity, and excellent communication skills. Experience in data analytics in a high-growth environment is preferred, and proficiency in Python is a bonus.

What you'd actually do

  1. Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance
  2. Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
  3. Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
  4. Work with our bike & scooter share markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders
  5. Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor forecasting

Skills

Required

  • SQL
  • quantitative analysis
  • develop scalable approaches
  • produce data visualizations
  • working with ambiguity
  • translate unclear issues or unstructured problems into clearly defined requirements
  • build relationships, trust and influence with cross-functional partners
  • communication (listening, written, and oral)
  • present findings & recommendations
  • structured thinking
  • developing processes to reduce human error
  • contextualizing real world operations into analytical problem solving

Nice to have

  • Python
  • associated data science libraries
  • building dashboards for performance analysis