Data Analyst, Global Growth Strategy

<p>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</p> <p>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.</p> <p>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 a Data Analyst, 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.</p> <p>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:</p> <ul> <li>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?</li> <li>What is the best way to continue to grow and deploy AVs on our platform? What use cases do riders prefer AVs?</li> <li>How do we ensure a consistent excellent rider experience across non-traditional driver sources?</li> <li>How do coupons and incentives motivate riders and drivers in premium segments?</li> <li>What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?</li> </ul> <h2><strong>Responsibilities</strong></h2> <ul> <li>Develop frameworks and deliver analyses to guide decision-making and prioritization across functions</li> <li>Uncover new areas of opportunity to grow Lyft’s driver population</li> <li>Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and driver experience</li> <li>Utilize data and analyses to influence business strategy and product roadmaps</li> <li>Regularly partner with Product, Engineering, Operations, Marketing, and Data Science</li> <li>Present findings, recommendations, and results to senior leadership and cross-functional stakeholders</li> </ul> <h2><strong>Experience</strong></h2> <ul> <li>3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup</li> <li>Experience in leading high visibility projects and influencing others in a cross-functional team environment</li> <li>Experience in communicating with and presenting to senior leaders and data storytelling</li> <li>Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions</li> <li>Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results</li> </ul> <h2><strong>Skills</strong></h2> <ul> <li>Ability to independently break down large datasets and synthesize inputs from multiple sources</li> <li>Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans</li> <li>Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences</li> <li>Ability to manage, influence, negotiate, and inspire others in a fast-moving environment</li> <li>Ability to use data visualization tools to provide actionable insights and reusable frameworks</li> <li>Strong written and verbal communication skills for internal stakeholders, including senior leadership</li> <li>Strong product and user experience sense</li> <li>Excellent organization, planning skills, and attention to detail</li> <li>Advanced analytical and problem sol