Analytics Lead, LUS
Lyft · Toronto, Canada · LUS
About this role
Lyft is hiring a senior-level Analytics Engineer in the data engineering function based in Toronto, Canada. The posting calls out experience with Python, SQL, Data Analytics.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Toronto, Canada
- Department
- LUS
More roles at Lyft
Job description
from Lyft careersAt Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
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 improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep.
In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from fleet management and operations performance to pricing and product features to long-term investments in bikesharing infrastructure.
We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.