Service Data Analyst
Are you an engineer who thrives at the intersection of technology and business—a true techno-commercial enthusiast? Our team is seeking an individual with a strong computer science foundation to bridge the gap between advanced analytics and real-world operational impact. This is a unique opportunity to join a talented, multi-disciplinary team of engineers and see your work directly improve our service operations, product design, and strategic decisions. If you are driven to solve complex problems and translate data into tangible business value, this role is for you. What You'll Do Advanced Analytics & Dashboarding: Design, build, and maintain advanced analytical dashboards. You will define and track KPIs that measure operational effectiveness, providing real-time visibility for data-backed decision-making across the teamAI Tool Development & Integration: Lead the end-to-end development and integration of AI/ML models to solve critical business challenges. You will identify opportunities, quantify potential benefits in dollar terms, and collaborate with technical teams to deploy solutions in areas like predictive maintenance and automated analyticsBusiness Case & Impact Analysis: Develop compelling business cases for new technologies, service tools, and operational strategies. You will use financial models like Net Present Value (NPV) to quantify their impact and provide data-driven recommendations for strategic initiatives like make-versus-buy decisionsData-Driven Engineering Feedback: Partner with diverse engineering disciplines to provide deep, analytical insights that influence product design. Your analysis will help improve serviceability, reduce downtime, and enhance product reliability What You'll Bring Bachelor's Degree in Computer Science, Data Science, or equivalent experience Proven, hands-on experience developing and deploying AI/ML models or data-driven software toolsStrong proficiency in Python and relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)A demonstrated interest and aptitude for business case development and financial modeling (NPV, ROI), with the ability to connect technical solutions to business valueProficiency in SQL for complex data extraction and manipulation from large datasetsExcellent communication skills and a collaborative mindset, with the ability to thrive in a multi-disciplinary engineering environment Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $80,000 - $162,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , Tesla
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