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 bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets across America, especially focusing on tracking, diagnosing and mitigating theft & loss trends.
A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with operations, hardware, software, customer support and finance teams to identify opportunities and gaps in performance. You will work in a fast-paced environment where your analytical insights directly impact strategic decisions around hardware product development, staffing, and product changes, ultimately driving better performance and long-term investments in micromobility infrastructure. We’re looking for a passionate and driven Data 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 on initiatives to improve operational performance and reduce asset lossDevelop frameworks and scalable processes to streamline reporting, drive decision-making and prioritizationForecast operational requirements needed to maintain high service levels and meet contractual and financial targetsWork with local markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholdersCollaborate with cross-functional teammates to tackle complex problems including: theft & loss, asset tracking, StationsExperience:
3+ years experience in a consulting, analytics/business intelligence, or related fieldBachelor's Degree or equivalent relevant professional experienceHighly skilled in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusionsAbility to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plusExtreme comfort working with ambiguity.
Ability to translate unclear issues or unstructured problems into clearly defined requirements with minimal oversightStrong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partnersGreat communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in questionStrong attention to detail, structured thinking and experiences developing processes to reduce human errorAdept at contextualizing real world operations into analytical problem solvingPassionate about sustainable mobility and active transportationBenefits:
Great medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft 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. #HybridThe expected base pay range for this position in the New York City area is $90,000 - $112,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits.
Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is 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.
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