Senior Data Analyst - Verticals

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features.

The Verticals team encompasses 3 critical and unique products / marketplaces within Lyft: airports, scheduled rides, and events.  Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. Scheduled rides allow riders to book a ride in advance with high reliability, and enable drivers to add structure to their work schedule. Lastly, events such as concerts or sporting games require similar considerations of special operations to ensure a seamless experience for both riders and drivers. 

As a Senior Data Analyst on the Verticals team, you will collaborate with engineering, product, design, operations, and marketing to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:

• Which airports are underperforming and which key metrics can we use to identify and classify airport performance? What targets should we set for these key metrics?
• What is driving high cancellation rates today and which types of riders/drivers are cancelling?  What product changes can we implement to reduce cancellation rates for scheduled rides? 
• How are riders and drivers using different ride modes at airports and events, and how do we design products to address this behavior? 
• How are riders and drivers discovering scheduled rides and are there entry point optimizations we can implement?

Responsibilities:

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency across Verticals products, recommending solutions to drive business impact 
• Understand the complex business dynamics across the Verticals product areas, specifically how these products differ from traditional rideshare marketplaces, to propose enhancements that compliment Lyft-wide products
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
• Develop dashboards and analytical frameworks to monitor business and product performance
• Establish metrics that measure the health of our products, the business, as well as the rider and driver experiences

Experience:

• 5-7+ years of experience in data analytics in a high-growth environment
• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (an asset, advanced degrees also an asset)
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
• Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Outcome-driven approach to developing recommendations and demonstrated ability to develop a story and execution plan to support goals and objectives
• Exceptional communication (listening, written, and oral) skills with the ability to present findings and recommendations targeted to the audience in question.
• A drive to understand the core issues along with the determination to uncover the solution
• Thrives within ambiguity and context-switching
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners

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 $129,000 - $161,250. 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.