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About This RoleAI processing…
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 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 product changes.
The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. 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. As an Analytics Lead on the Airport team, you will collaborate with our team of engineers, product managers, and designers to conduct thorough data deep dives on airport performance, challenge our current strategy, and recommend enhancements to facilitate market growth.
Key Responsibilities
- 1Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending solutions to drive business impact specifically related to pricing and earnings
- 2Establish metrics that measure the health of our products, the business, and the rider and driver experiences
- 3Develop dashboards and analytical frameworks to monitor business and product performance
- 4Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and rider and driver experiences
- 5Understand the complex business dynamics at Airports, specifically how Airport products differ from traditional rideshare marketplaces, to propose enhancements that compliment Lyft-wide products
- 6Partner with product managers, engineers, marketers, designers, and operations to translate data insights into decisions and action
- 7Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Requirements
- 4-7+ years experience in strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- End-to-end experience with data, including querying, aggregation, analysis, and visualization, to provide actionable insights and reusable frameworks
- 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
- Experience in leading high visibility projects and influencing others in a cross-functional team environment
- Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.
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