About the role
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. This is a hybrid role open to candidates based anywhere in Europe (London and Berlin preferred), within 120 minutes of a Lime warehouse.
The role requires occasional travel (~10%) to Lime warehouses or other locations for team meetings. What You’ll Do: 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