Automotive Systems Data Engineer at Segula Technologies

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Automotive Systems, Engineering Change Management, Excel, Power BI, Data Visualization, Data Integrity, Analytical Thinking, Problem Solving, Vehicle Architecture, Collaboration, Data Models, Cost Analysis, Weight Analysis, Performance Analysis, Technical Communication

Industry

Engineering Services

Description

Company Description Accelerate your career with a fast-growing global engineering group. At SEGULA Technologies, you will work on exciting projects and help shape the future within a company for which innovation is inseparable from engineering. 3D printing, augmented reality, autonomous vehicles, the factory of the future... these are all part of the daily routine of our 10,000 ingenious employees. Why not yours. Whether it's next door or on the other side of the world, at SEGULA Technologies you'll find the opportunity that will give new meaning to your career! Job Description About the Role We are seeking a highly analytical Data Analyst with a solid understanding of automotive systems and components to support engineering, design, and change management activities. The ideal candidate will have handson experience with vehicle architecture including systems such as propshafts, IP consoles, and overall vehicle integration and will provide data-driven insights to enhance performance, efficiency, and decision-making across projects. Key Responsibilities Analyze engineering and manufacturing data related to vehicle systems and components. Support Engineering Change Management (ECM) by maintaining accurate data and impact analysis. Develop, maintain, and automate reports and dashboards using Excel (advanced formulas, macro) and Power BI. Collaborate with cross-functional teams to interpret data, identify trends, and provide actionable insights. Create and maintain data models to support cost, weight, and performance analysis. Ensure data integrity, accuracy, and consistency across multiple sources and systems. Prepare visual reports and summaries for technical and management reviews. Location Mexico, eligible candidates must reside and be legally authorized to work in Mexico. Why Join Us Work remotely with a dynamic global engineering team. Apply your data skills to real-world automotive development projects. Continuous growth opportunities in data analytics and product engineering. Qualifications Qualifications Bachelor’s degree in Engineering, Data Analytics, or a related field. 3+ years of experience in an automotive or engineering environment. Strong knowledge of vehicle systems, ideally including propshafts, IP console, closures, or chassis components. Advanced proficiency in Microsoft Excel (pivot tables, macros, VBA). Experience in Power BI for data visualization and performance dashboards. Strong attention to detail, analytical thinking, and problem-solving abilities. Comfortable working remotely in an English-speaking, global environment. Preferred Skills Experience with engineering change processes and vehicle BOM data. Knowledge of Teamcenter, PLM, or automotive data management systems. Ability to communicate complex technical data in a clear, concise way. Additional Information Location: 100% on site, availability to travel is required Segula Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. Our hiring practices are designed to ensure that every candidate is given equal opportunity to compete for and obtain employment. We are dedicated to providing a work environment free from discrimination and harassment and ensuring all employment decisions are based on business needs, job requirements, and individual qualifications.

Responsibilities

Analyze engineering and manufacturing data related to vehicle systems and components. Collaborate with cross-functional teams to interpret data, identify trends, and provide actionable insights.