Sustainability Specialist, Solutions, Italy
Pubblicato il 02-10-2026 - DSV in Settala
Time Type:
Full TimeTake your next step career at DSV Solutions . Division of Group DSV together with DSV Road and DSV Air&Sea;, is a leading Company in supply and management of global supply chain solutions. We work with more than 22.000 collaborators in over 500 sites and 40 countries, for a total of 7,5 million square meters of covered surface. The Solutions division designs and delivers logistics solutions, including a wide range of value added services.
Our main services are:
• Inbound logistics
• Warehousing
• Value-added services
• Outbound logistics
• Distribution
• E-commerce
• Bonded warehouses
• Fiscal representation
• Automated warehouse solutions
For our local branch in Settala (Milan) , we are currently looking for a Sustainability Specialist .
Key Responsibilities
Analyze data related to carbon emissions, energy consumption, and environmental KPIs. Identify trends, anomalies, and recurring patterns. Develop predictive and analytical models. Create interactive dashboards and reports using Excel and Power BI.
Translate data insights into actionable recommendations to support sustainability initiatives. Build and maintain a historical database for continuous monitoring and reporting. Collaborate in the preparation of presentations and materials for various stakeholders and, more generally, support the day-to-day activities of the department.
Requirements
Bachelor's or Master's degree (completed or currently pursuing) in Engineering (Management Engineering, Environmental Engineering), Economics, Statistics, Data Science, or related fields. Fluent English, both written and spoken. Familiarity with key environmental KPIs (considered a plus).
Technical Skills
Good knowledge of data management, processing, and analysis. Good knowledge of Microsoft Office applications, particularly Excel and PowerPoint. Good knowledge of Power BI. Good understanding of Business Intelligence and Business Analytics tools. Advanced data analysis techniques (e.g., regression analy