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.
As a Data Analyst on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Analyst who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.
Our team is heavily cross-functional, and our work often involves collaboration between Product, Engineering, Operations and Data Science. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:
- What defines a high quality route?
- How do we improve the quality of our map data in order to improve our recommendations?
- Are we meeting our travel estimation promises to our customers?
- How do we benchmark and measure the success of our services?
As a key team member on the Mapping Science team, you’ll own various work streams, analyses, modeling, strategy, and business metrics that drive the growth of the Lyft ecosystem at scale. You’ll be a leader working cross-functionally by synthesizing input and perspectives from various key stakeholders. We are looking for analytical talent to provide insights and actionable recommendations that will drive impact and produce quality business and product decisions for our users.
Responsibilities
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency
- Establish metrics that measure the health of our products, as well as rider and driver experience
- Build dashboards and models to provide teams with actionable insights
- Monitor product and service health to drive decision-making and prioritization
- Utilize data and analyses to influence business strategy and product roadmaps
- Regularly partner with Product, Engineering, Operations, Marketing, and Data Science
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experiences
- 2+ years experience in management consulting, operations, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees also an asset)
- Proficiency in SQL - ability to independently break down large datasets and synthesize inputs from multiple sources
- Experience in programming, especially with data science and analytics libraries in Python or R
- Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to use data visualization tools to provide actionable insights and reusable frameworks
- Strong product and user experience sense
- Proven ability to influence, negotiate, and inspire others in a fast-moving environment
- Excellent organization, planning skills, and attention to detail
- Balance between intellectual curiosity and the desire to roll up your sleeves and execute
- Experience working with ETL pipelines a plus
- Experience in online experimentation a plus
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 proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. 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 $70,000 - CAD $87,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
