Data Analyst - Service Operations

Job Description

<p>Tesla is looking for an enthusiastic and experienced Data Analyst to support our Service Operations business across regions in APAC. You will turn data into clear, strategic actions that improve profitability and service value, and you will go beyond spreadsheets and reporting. You will have the opportunity to shape and continuously improve how we make decisions with data. </p>

Job Responsibilities

• Build and maintain tools, dashboards, and platforms that give end-to-end visibility into service operations across multiple regions.
• Run deep-dive analyses of service operation costs across APAC markets. Identify inefficiencies and opportunities for optimization.
• Automate daily operational workflows to eliminate manual processes and drive operational excellence. Coverage includes, but is not limited to, workshop, front of house, tooling, parts, and financial reporting.
• Query and analyze large-scale datasets with SQL to uncover market trends, exceptions, and actionable insights.
• Develop Python-based automation scripts (with AI tooling) and data pipelines for data extraction, transformation, reporting, and simulation modeling.
• Provide proactive analyses that drive business programs and informed decisions.
• Support leadership with dashboards, ad-hoc analyses, risk assessments, and quarterly operational summaries.
• Drive continuous improvement through data-driven storytelling and cross-cultural collaboration.
• Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met.

Job Requirements

• 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.