Analytics Lead, LUS

Lyft; Toronto; On-site; CAD 79,600 - 99,500; Full time

Benefits offered by this job

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Lyft funded Health Care Savings Account

RRSP plan

Flexible paid time off policy

18 weeks of paid time off for new parents

Subsidized commuter benefits

Job summary

A leading transportation company is seeking a Data Analyst in Toronto to enhance bikeshare performance through data-driven insights. In this role, you'll collaborate with various teams to conduct deep analyses, present findings, and propose solutions for operational challenges in a rewarding micromobility sector. The ideal candidate has strong SQL skills, quantitative analysis expertise, and a passion for urban mobility innovations. This hybrid position allows flexible working arrangements, with a focus on in-office collaboration at least three days a week.

Qualifications

• 3-5+ years experience in data analytics in a high-growth environment.
• Highly skilled in SQL and quantitative analysis.
• Extreme comfort working with ambiguity.
• Adept at contextualizing real world operations into analytical problem solving.
• Bonus: Proficiency in Python and associated data science libraries.

Responsibilities

• Collaborate with cross-functional stakeholders on deep-dive analyses.
• Develop frameworks and processes to streamline reporting.
• Forecast operational requirements for high service levels.
• Deliver ongoing support and analyses on performance.

Skills

SQL

Quantitative analysis

Data visualization

Interpersonal skills

Communication skills

Education

Bachelor's Degree or equivalent relevant professional experience

Tools

Python

Job description

At 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 teams, as well as software and hardware engineering teams, to monitor the performance of and drive improvements in our hardware. You will also play a key role in monitoring and mitigating rideable theft and loss. You will work in a fast-paced environment where your analytical insights directly impact strategic decisions around operational processes, staffing, and product changes, ultimately driving better performance and long-term investments in micromobility 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, Data Science & Analytics, 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, drive decision-making and prioritization
• Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
• Work closely with cross-functional partners to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders

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
• Strong 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 Lyft 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 Lyft'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
• Lyft 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

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft 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. Lyft 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.

Lyft 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. Lyft 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 Lyft 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 $79,600 - CAD $99,500, 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.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.