At the company, 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.
the company Urban Solutions (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 50+ global markets including Montreal, Toronto, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year.
Data and analytics are at the heart of the company's products and decision-making. 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. 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 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.
Responsibilities: Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues 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 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
Experience: 3-5+ 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, 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
Extreme comfort working with ambiguity. Ability to 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 in question
Solid attention to detail, structured thinking and experiences developing processes to reduce human error
Adept at contextualizing real world operations into analytical problem solving
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
Passionate about sustainable mobility and active transportation
Bonus: Proficiency in Python and associated data science libraries
Benefits: Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a the company funded Health Care Savings Account
RRSP plan to help save for your future
In addition to provincial observed holidays, salaried team members are covered under the company's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off,



with an additional day for each year of service
the company is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits
the company is committed to creating an inclusive workforce that fosters belonging. the company believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. the company also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $96,000 - CAD $120,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.

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📌 Analytics Lead, LUS (Ontario)
🏢 United States Digital Space
📍 Ontario