# Analytics Lead, LUS

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** Toronto, Canada
**Role:** Data Analytics
**Salary:** CA$96k – CA$120k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Data Visualization, Data Analytics, Quantitative Analysis, Dashboarding, Kpi Analysis, Forecasting, Business Logic, Data Science Libraries
**Posted:** 2026-08-03

> Analyzes operational and business performance for Lyft Urban Solutions, partnering with Product, Engineering, Operations, Policy, and Finance to improve micromobility services. The role requires 3–5+ years of analytics experience, strong SQL and quantitative skills, and excellent cross-functional communication.

## Job Description

## Responsibilities

- Partner with Product, Engineering, Policy, Operations, Finance, and other cross-functional stakeholders to conduct deep-dive analyses, identify root causes, and propose solutions.
- Develop frameworks, business logic, and scalable processes to streamline reporting and drive decision-making.
- Forecast operational requirements and investments needed to maintain high service levels and meet contractual and financial targets.
- Work with cross-functional partners to deliver data quickly, reliably, and accurately to city partners.
- Monitor and diagnose KPI performance and present findings to senior leadership.

## Requirements

- 3–5+ years of experience in data analytics in a high-growth environment, preferably consulting, operations, transportation, or logistics.
- Bachelor's degree or equivalent relevant professional experience.
- Strong SQL and quantitative analysis skills, with the ability to analyze large datasets, draw meaningful insights, dissect business issues, and develop actionable conclusions.
- Ability to develop scalable approaches and create data visualizations that drive business insights and provide tangible solutions; dashboard-building experience is a plus.
- Comfort working with ambiguity and translating unclear issues or unstructured problems into clearly defined requirements with minimal oversight.
- Strong interpersonal skills, including the ability to build relationships, trust, and influence with cross-functional partners.
- Excellent listening, written, and oral communication skills, with the ability to present findings and recommendations to the appropriate audience.
- Strong attention to detail, structured thinking, and experience developing processes that reduce human error.
- Ability to contextualize real-world operations into analytical problem-solving.
- Strong sense of product ownership and commitment to improving customer experiences.
- Passion for sustainable mobility and active transportation.

## Nice-to-have

- Proficiency in Python and associated data science libraries.

## Compensation and Benefits

- Base pay range for the Toronto area: **CAD $96,000–$120,000**.
- Extended health and dental coverage, life insurance, and disability benefits.
- Mental health benefits.
- Family-building benefits.
- Child care and pet benefits.
- Lyft-funded Health Care Savings Account.
- RRSP plan.
- Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off, with an additional day for each year of service.
- 18 weeks of paid parental leave for eligible biological, adoptive, and foster parents.
- Subsidized commuter benefits.
- Hybrid roles may be worked from anywhere for up to 4 weeks per year.

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