Senior Analyst, Lime

• Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent)
• Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience
• 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders
• Experience translating business needs into functional data and reporting requirements, ideally working closely with a Product or Engineering team
• Ability to structure and document operational processes, comfortable with ambiguity and working from first principles when standard frameworks don't exist
• Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions
• Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders
• Not sure if you meet all the qualifications? If this role excites you we encourage you to apply

Desirable

• As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free
• A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership
• Learn more at li.me
• Lime is hiring a Senior Analyst to join our Global Operations team
• In this role, you'll be at the forefront of improving in-field repair quality performance— developing key metrics, building tools that drive real-time visibility, and delivering targeted analysis that informs operational decisions and strategic opportunities
• You'll serve as the functional bridge between Local Operations and our Product organization, translating operational needs into structured data requirements and tooling improvements
• You'll collaborate closely with Local Operations, Product, Data Science, and Hardware teams to help shape the future of Lime's in-field repair quality across all of our operations as we continue to scale
• The ideal candidate is highly analytical, technically strong, and passionate about using data to solve complex problems
• You're equally comfortable partnering with local operations teams and product or engineering stakeholders — and you know how to both structure a process and build a dashboard
• If you have 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a drive to influence outcomes through insight, we'd love to hear from you
• Improve visibility into in-field repair quality: Define and maintain metrics to track repair performance, effectiveness, compliance, efficiency, and ROI — and build tooling to surface these insights in real time across operations
• Build models and dashboards: Use SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports for local operations teams — with robust logic, clearly defined assumptions, and intuitive interfaces
• Monitor trends and diagnose performance gaps: Track repair efficiency and quality compliance over time, identify root causes behind variances or emerging trends, and recommend actionable solutions at both tactical and strategic levels
• Turn operational complexity into structured clarity: Bridge Local Operations and Product/Tech by converting messy, real-world business needs into crisp specs, user stories, data requirements, and SOPs that teams can actually execute against
• Formalize and improve operational processes: Map and document quality workflows, surface inefficiencies, and partner with Local Operations to define and roll out improved standard operating procedures
• Collaborate with partner teams to improve efficiency: Provide insight and targeted analysis to troubleshoot issues or highlight opportunities. Partner with Operations leadership and local teams to land recommendations and drive action through to resolution
• Drive continuous improvement in data analytics capabilities across global operations: Contribute to a culture of data-driven decision making and analytical excellence through peer collaboration, knowledge sharing, and support