lyft
Data Analyst, Operations Planning
At a Glance
- Location
- New York, United States
- Employment
- employment_required
- Experience
- 3+ years
- Compensation
- in the New York City area is $82,800 - $103,500, not inclusive of potential eq
- Posted
- 2026-05-28T14:18:09-04:00
Key Requirements
Required Skills
Domain Knowledge
- Logistics
Benefits & Perks
edical, dental, and vision insurance options with additional programs availa
Requirements
3+ years experience in data analytics in a high-growth environment, preferably a consulting, operations or transportation / logistics space
You can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
Ability to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
A strong sense of product ownership - you’re constantly looking for ways to improve the customer’s experience and aren’t afraid to get your hands dirty to do so
Bonus: Proficiency in Python and associated data science libraries
Compensation & Benefits
Great medical, dental, and vision insurance options with additional programs available when enrolled
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan with company match to help save for your future
In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
Responsibilities
Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance
Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
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
Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor forecasting