lyft

Data Analyst, Operations Planning

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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

Data SciencePythonSQL

Domain Knowledge

  • Logistics

Benefits & Perks

Health Insurance

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