# Data Analyst, Operations Planning

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $83k – $104k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Data Visualization, Dashboard Development, Quantitative Analysis, Data Analytics, Business Intelligence, Forecasting, Stakeholder Management, Process Development
**Posted:** 2026-06-05

> Data Analyst on the Urban Solutions team analyzing micromobility operations to improve bike and scooter share performance across US markets. Partners with Product, Engineering, Operations and Finance to forecast needs, diagnose issues, and drive data-informed decisions.

## Job Description

## 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 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

## Requirements
- 3+ years experience in data analytics in a high-growth environment, preferably a consulting, operations or transportation / logistics space
- Bachelor's Degree or equivalent relevant professional experience
- Highly skilled in SQL and quantitative analysis; 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
- Extreme comfort working with ambiguity; translate unclear issues or unstructured problems into clearly defined requirements with minimal oversight
- Strong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partners
- Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience
- Strong attention to detail, structured thinking and experiences developing processes to reduce human error
- Adept at contextualizing real world operations into analytical problem solving
- Passionate about sustainable mobility and active transportation
- Strong sense of product ownership

## Nice-to-Haves
- Proficiency in Python and associated data science libraries

## 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
- Discretionary paid time off (salaried team members); 15 days paid time off (hourly team members); 12 observed holidays
- 18 weeks of paid parental leave (biological, adoptive, and foster parents eligible)
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership

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