Sustainability Data Analyst | Power BI, Excel, ESG Insights

DSV - Global Transport and Logistics; Settala; In loco; EUR 42.000 - 65.000; Tempo pieno

Descrizione del lavoro

DSV Solutions in Settala (Milan) is seeking a Sustainability Specialist to analyze carbon emissions, energy use, and environmental KPIs. You will build interactive dashboards in Excel and Power BI and translate data insights into actionable recommendations to support sustainability initiatives.

Applicants should have a Bachelor's or Master's degree in Engineering, Economics, Statistics, Data Science or related fields, plus fluent English.

Competenze

• Bachelor's or Master's degree in Engineering, Economics, Statistics, Data Science, or related fields.
• Fluent English, both written and spoken.
• Familiarity with environmental KPIs is a plus.
• Experience with data visualization and BI tools is a plus.

Mansioni

• 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 for stakeholders and support department activities.

Conoscenze

Data analysis

English communication

Excel proficiency

Power BI proficiency

Team collaboration

Formazione

Bachelor's or Master's in Engineering, Economics, Statistics, Data Science

Strumenti

Power BI

Python

Excel

Descrizione del lavoro

DSV Solutions in Settala (Milan) is seeking a Sustainability Specialist to analyze carbon emissions, energy use, and environmental KPIs. You will build interactive dashboards in Excel and Power BI and translate data insights into actionable recommendations to support sustainability initiatives.

Applicants should have a Bachelor's or Master's degree in Engineering, Economics, Statistics, Data Science or related fields, plus fluent English.