Automotive Data Analytics & Value Optimization Engineer

Groupe SEGULA Technologies SA (old); Mexico; On-site; MXN 300,000 - 420,000; Full time

Job summary

Groupe SEGULA Technologies SA is seeking a highly analytical Data Analyst to support engineering, design, and change management activities in the automotive domain. You will analyze vehicle systems and components, maintain ECM data, and build automated dashboards to drive performance and informed decision making.

The role emphasizes hands-on experience with vehicle architecture, data models, and data integrity across multiple sources, enabling clear reports for technical and management reviews.

Qualifications

• Highly analytical Data Analyst with solid understanding of automotive systems and components.
• Hands-on experience with vehicle architecture including propshafts, IP consoles, and vehicle integration.

Responsibilities

• Analyze engineering and manufacturing data related to vehicle systems and components.
• Support Engineering Change Management (ECM) by maintaining accurate data and impact analyses.
• Develop, maintain, and automate reports and dashboards using Excel (advanced formulas, macros) 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.

Skills

Data analysis

Dashboards

Data modeling

Excel

Power BI

Tools

Power BI

Excel (Advanced)

Job description

Groupe SEGULA Technologies SA is seeking a highly analytical Data Analyst to support engineering, design, and change management activities in the automotive domain. You will analyze vehicle systems and components, maintain ECM data, and build automated dashboards to drive performance and informed decision making.

The role emphasizes hands-on experience with vehicle architecture, data models, and data integrity across multiple sources, enabling clear reports for technical and management reviews.