Data Analyst
Hace 21 horas
México
Segula Technologies
Jornada completa
EUR 500,000 - EUR 700,000/año
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Position Overview
We are seeking an Engineering Operations Data Analyst to support Vehicle System Synthesis and engineering leadership. In this role, you will analyze technical data, perform competitive benchmarking, and streamline information flow across multidisciplinary automotive development programs. You will serve as the single source of truth for key operational metrics, validation activities, and competitive intelligence turning complex technical data into concise visual reports and executive summaries that drive fast, data-informed decisions.
Key Responsibilities
- Competitive Benchmarking & Analysis: Conduct technical assessments, competitive vehicle comparisons, and industry trend analysis to guide vehicle synthesis strategies.
- Leadership Support & Reporting: Build and deliver executive-level dashboards, presentation decks, and technical summaries for program leadership to accelerate decision-making.
- Operations & Validation Tracking: Maintain and analyze key operational data, including annual trip/validation plans, benchmarking schedules, resource utilization, and vehicle development metrics.
- Cross-Functional Data Consolidation: Aggregate siloed data streams across engineering, testing, and validation organizations into a unified single source of truth.
- Continuous Process Improvement: Identify emerging risks, programmatic gaps, resource bottlenecks, and performance trends across active vehicle programs.
Key Responsibilities
- Competitive Benchmarking & Analysis: Conduct technical assessments, competitive vehicle comparisons, and industry trend analysis to guide vehicle synthesis strategies.
- Leadership Support & Reporting: Build and deliver executive-level dashboards, presentation decks, and technical summaries for program leadership to accelerate decision-making.
- Operations & Validation Tracking: Maintain and analyze key operational data, including annual trip/validation plans, benchmarking schedules, resource utilization, and vehicle development metrics.
- Cross-Functional Data Consolidation: Aggregate siloed data streams across engineering, testing, and validation organizations into a unified single source of truth.
- Continuous Process Improvement: Identify emerging risks, programmatic gaps, resource bottlenecks, and performance trends across active vehicle programs.