Data Analyst

Amaris Consulting; Torino; In loco; EUR 24.000 - 36.000; Tempo pieno

Descrizione del lavoro

Amaris Consulting in Italy is seeking a Data Analyst to join an international, dynamic team. You will evaluate telematics datasets to support engineering performance analysis for vehicles and components.

The role involves creating dashboards, analyzing data trends, and communicating results to engineering and business stakeholders. A 2-3 year background in data analytics and programming with Python/MATLAB is preferred, along with Power BI experience.

Competenze

• 2-3 years of experience in data analytics, preferably automotive or related fields.
• Bachelor’s or Master’s degree in a STEM field.
• Proficiency in Python and MATLAB with data manipulation libraries.
• Experience with Power BI and dashboards.
• Fluent in English; Italian mother tongue.

Mansioni

• Evaluate telematics datasets for consistency, accuracy, and suitability for performance analysis.
• Analyze telematics data to identify trends and factors for model optimization.
• Assess vehicle usage data to define missions and use-case clusters.
• Monitor performance metrics for health, durability, and predictive insights.
• Create dashboards and data visualizations for engineering and business stakeholders.

Conoscenze

Data analytics

Data mining

Python

MATLAB

Power BI

English fluent

Cross-functional teamwork

Formazione

Bachelor's or Master's in Data Science or related STEM

Strumenti

Python

MATLAB

Power BI

Descrizione del lavoro

Join our team as a Data Analyst and start a new adventure in an international and dynamic environment, where you will be able to fulfill your career expectations in a fast-growing organization. As a Data Analytics Consultant, you will play a key role in evaluating and analyzing telematics datasets to support engineering functions and performance analysis for vehicles, subsystems, and components.

Your Missions

• Evaluate telematics datasets for consistency, accuracy, and suitability to ensure reliable input for vehicle, subsystem, and component performance analysis.
• Analyze telematics data to identify trends, correlations, and performance factors supporting simulation model optimization and validation use case refinement.
• Assess vehicle usage data and operational patterns to help define representative customer missions and use case clusters.
• Monitor performance metrics contributing to component health assessment, durability, and long-term performance trends, enabling predictive failure rate estimation.
• Create advanced dashboards, reports, and data visualizations to clearly communicate analytical results, performance trends, and optimization opportunities to engineering and business stakeholders.

Your Profile

• Experience in data analytics and data mining techniques, preferably in the automotive sector or related fields (2-3years).
• Proficiency in programming languages such as Python and MATLAB, with experience using data manipulation and analysis libraries.
• Experience with data visualization tools such as Power BI and dashboard creation.
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Engineering, or related STEM disciplines.
• English fluent. Italian mother tongue
• You demonstrate strong analytical thinking and problem-solving skills.
• You demonstrate effective communication and collaboration skills for cross-functional teamwork.
• You show a passion for sustainable transportation and a desire to contribute to a greener future.
• Experience with large datasets and database structures.
• Understanding of vehicle telematics concepts and connected vehicle data.
• Knowledge of machine learning or clustering methods is a plus.

What do we offer?

• An international community bringing together more than 110 nationalities.
• An environment where trust is central and internal growth is valued.
• A solid training system with an internal Academy and available learning modules.
• A dynamic workplace with internal events, team building activities and dedicated initiatives.
• A strong commitment to well-being and work-life balance.

Local benefits in Italy:

• Flexible working options according to company policy.
• Health insurance and well-being programs, where applicable.
• Gross AnnualSalary (Range: EUR 24,000 – EUR 36,000)
• The salary range has been determined based on objective and gender-neutral criteria.
• During the recruitment process, we will not ask for information about your current or previous salary.

Our salary ranges are intentionally wide, because we hire talented minds, not "templates". The same role can attract very different candidates, and we believe in leaving room for that. What lands within the range depends on your specific experience, skills and what you bring to the role.

The ideal person shares these values:

Boldness: our entrepreneurial spirit of adventure is what brings us together and drives our success.

Trust: trust is the foundation of our relationships and enables us to promote freedom of expression, creativity and innovation.

Performance: it guides us in our continuous improvement and in our drive to achieve concrete results.

Commitment: we work with dedication and responsibility to meet our objectives.

Independence: Amaris Consulting belongs to those who created it and to those who develop it every day.

With your application, you may have the opportunity to join a company that supports its partners in the Automotive & Motorsport, Avionic & Aerospace, Defence, Railway, Industrial, Home Automation and Robotics sectors, with mechanical and electronic engineering activities in the areas of Development & Design, Testing & Validation, System Engineering, R&D and Project Management.

Diversity and inclusion

Amaris Consulting promotes equal opportunities and assesses applications based on skills, experience and potential. We welcome qualified applications without discrimination based on gender, gender identity or expression, sexual orientation, ethnic origin, nationality, religion or belief, age, disability, marital or family status, or any other protected characteristic.