Data Analyst, Service Operations

原始資料於 2026-11-04 查閱；內容可能已更新，請查看原始職位。

What You'll Bring
Professional experience in data analytics, service operations, business analysis, or financial operations is preferred. Fresh graduates are also welcome to apply.
Strong analytical mindset with experience in cost analysis, financial modeling, and/or data interpretation. Formal finance training is not required.
Excellent quantitative skills and a solid grasp of statistical methods. You can run simulations, present findings clearly and concisely, and inspire confidence in data-driven decisions.
Excellent written and verbal communication skills. You can present insights to both technical and non-technical stakeholders, including senior leadership.
Highly collaborative and team-oriented, and also able to work independently.
Able to deliver under tight deadlines and manage multiple tasks and projects at once.
Self-starter with a curious nature, comfortable learning new systems, tools, and regional business practices independently.
Thrives in diverse, fast-paced environments. You are culturally sensitive and team-oriented.
Preferred / Nice to Have
Experience with Python for data processing, automation, or statistical modeling.
Hands-on experience using AI/LLM tools to improve analytics and automation workflows.
Experience in automotive after-sales, service operations, or a similar field. Relevant areas include parts and inventory, warranty, labor and pricing, service center capacity, and customer satisfaction.
Experience with forecasting, scenario or simulation modeling, and budget or variance analysis.