Senior Analyst (In-Field Repair Quality)
Lime · London, United Kingdom
About The Role
Join Lime, a global leader in micromobility, as a Senior Analyst in the Global Operations team. In this role, you will improve in-field repair quality performance, develop key metrics, build tools for real-time visibility, and deliver targeted analysis to inform operational decisions. You will collaborate closely with Local Operations, Product, Data Science, and Hardware teams to shape the future of Lime's in-field repair quality. The ideal candidate has 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a passion for using data to solve complex problems.
- Improve visibility into in-field repair quality by defining and maintaining metrics to track repair performance, effectiveness, compliance, efficiency, and ROI.
- Build models and dashboards using SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports.
- Monitor trends and diagnose performance gaps by tracking repair efficiency and quality compliance over time, identifying root causes behind variances or emerging trends.
- Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders
- Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience
- Python, Google Apps Script, or other automation/scripting capabilities are a strong plus
- 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders
- Previous experience in a fast-paced, scaling operations environment (gig economy, last-mile, field services, or similar)
- 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
- Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent)
- Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions
- Experience working closely with Product or Engineering teams on tooling/product improvements
- Not sure if you meet all the qualifications? If this role excites you we encourage you to apply
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