Analytics Lead, LUS at Lyft
Montréal, QC, Canada -
Full Time


Start Date

Immediate

Expiry Date

10 Jul, 25

Salary

0.0

Posted On

10 Mar, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Human Error, Analytical Skills, Performance Analysis, Data Analytics, Interpersonal Skills, Sql

Industry

Information Technology/IT

Description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners.
In this role, you will collaborate closely with Operations, Policy, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure.
We’re looking for a passionate and driven Analytics Lead to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.

EXPERIENCE

  • 4+ years of experience in data analytics in a high-growth environment
  • Experience building dashboards for performance analysis
  • Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
  • Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
  • Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
  • Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
  • Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
  • Strong attention to detail, structured thinking and experiences developing processes to reduce human error
Responsibilities
  • Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders to manage and update key business logic
  • Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization
  • Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time
  • Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners
  • Monitor and diagnose KPI performance and present findings to senior leadership
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