Lyft · Toronto
Analytics Lead, LUS
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...
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, 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.
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 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
- 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 $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.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring
decisions.
This job fills an existing vacancy.
Role
Analytics Lead, LUS
Category
LUS
Location
Published
July 7
Deadline
August 17
Source