Data Analyst – Global Growth Luxury Strategy Full Time

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 Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers 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. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as:

• How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
• How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides?
• How do coupons and incentives motivate riders and drivers in premium segments?
• What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?

Responsibilities:

• Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
• Uncover new areas of opportunity to grow Lyft’s Luxury portfolio. Manage, build, and automate models and reporting to provide actionable insights on the Lyft Luxury marketplace, including rider, driver, and general efficiency metrics. Utilize data and analyses to influence business strategy and product roadmaps
• Regularly partner with Product, Engineering, Operations, Marketing, and Data Science and collaborate with teammates in the Global Growth Org
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience:

• 2-5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
• Entrepreneurial self-starter – you naturally take ownership, look for opportunities, and do whatever it takes to drive results

Skills:

• Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
• Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
• Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong written and verbal communication skills for internal stakeholders, including senior leadership
• Strong product and user experience sense
• Excellent organization, planning skills, and attention to detail
• Advanced analytical and problem solving skills
• Proficiency in SQL

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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 3 days per week 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 New York City area is $99,000-$123,750, 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.