Analytics Lead, Hardware and Supply (LUS)

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 and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of micromobility by leveraging data to quantify and communicate hardware performance and overall system health so we can continually improve our world class operations.

In this role, you will collaborate closely with operations teams, as well as software and hardware engineering teams, to monitor the performance of and drive improvements in our hardware. You will also play a key role in monitoring and mitigating rideable theft and loss. You will work in a fast-paced environment where your analytical insights directly impact strategic decisions around operational processes, fleet deployment, staffing, and product changes, ultimately driving better performance experiences for our customers.

We’re looking for a passionate and driven Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.

Responsibilities:

• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders to conduct deep-dive analyses to root cause issues and propose solutions


• Develop frameworks, business logic and scalable processes to streamline reporting, drive decision-making and prioritization


• Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time


• Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners


• Monitor and diagnose KPI performance and present findings to senior leadership

Experience:

• 3-5+ years of experience in data analytics in a high-growth environment, preferably an operations or transportation / logistics space


• Experience quantifying and communicating performance in complex and multi-faceted operational environments.


• Experience functioning in ambiguous problem spaces and demonstrated ability to work through unstructured problems with minimal oversight


• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems


• Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question


• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively


• Highly 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


• Strong attention to detail, structured thinking and experiences developing processes to reduce human error


• A strong sense of product ownership - you’re constantly looking for ways to improve the customer’s experience and aren’t afraid to get your hands dirty to do so


• Bonus: Proficiency in Python and associated data science libraries

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 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


• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 $108,000 - $135,000, 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.