Fleet Data Validation & Insights Engineer

Iveco Group; Torino; In loco; EUR 39.000 - 45.000; Tempo pieno

Descrizione del lavoro

Iveco Group in Torino, Italy, is seeking a data-driven engineer to develop fleet monitoring and validation using operational vehicle data. You will transform fleet data into actionable insights, establish monitoring strategies, thresholds and dashboards to support validation, reliability growth and engineering decisions.

Working with System Validation Engineers and cross-functional teams, you will define parameters, data models and visualization requirements, ensuring representativeness of

Competenze

• Bachelor's or Master's in Engineering, Data Science, CS or related field.
• Minimum 5 years in data analytics, dashboard development and KPI definition.
• Experience with Qlik Sense and data modelling is preferred.
• Knowledge of SQL, Python, ETL processes and CAN data is advantageous.

Mansioni

• Identify vehicle parameters to monitor and define engineering thresholds.
• Develop fleet dashboards and analytics frameworks to support validation.
• Analyze fleet data to identify mission profiles and acceleration factors.
• Collaborate with validation and ICT teams to ensure data quality.
• Communicate findings via dashboards and reports to technical and non-technical audiences.

Conoscenze

Data analytics

Dashboard development

KPI definition

Mission profile analysis

Communication of technical findings

Formazione

Bachelor's or Master's Degree in Engineering, Data Science, or Computer Science

Strumenti

Qlik Sense

SQL

Python

ETL concepts

Descrizione del lavoro

Iveco Group in Torino, Italy, is seeking a data-driven engineer to develop fleet monitoring and validation using operational vehicle data. You will transform fleet data into actionable insights, establish monitoring strategies, thresholds and dashboards to support validation, reliability growth and engineering decisions.

Working with System Validation Engineers and cross-functional teams, you will define parameters, data models and visualization requirements, ensuring representativeness of