Analytics Lead, Hardware and Supply (LUS)

Lyft•New York, NY

21d•$108,000 - $135,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Proficiency in Python and associated data science libraries

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

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

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