ESG Data Analyst

Datashift

Datashift is a prominent consultancy team focusing on delivering data-driven solutions to answer critical business questions. The ESG Data Analyst role is essential in helping companies modernize their sustainability efforts and ensure transparency. As part of the expanding ESG team, the analyst will contribute significantly to shaping the future of Datashift's ESG domain, working with leading companies across diverse sectors.

In this role you can expect to have the responsibilities:

• Collaborate with clients to design, implement, and deliver advanced ESG data and reporting solutions.
• Aid companies in creating value through transparent and impactful sustainability reporting.
• Engage with diverse industries including Automotive, Banking & Financial Services, Insurance, and Life Sciences.

This role comes with the following benefits:

• Highly entrepreneurial team.
• No-nonsense work environment focusing on high quality.
• Excellent employment terms including a company car, fuel card, meal vouchers, and bonus.
• Fringe benefits with continuous training for professional, technical, and management skill enhancement.
• Opportunity to grow with Datashift in terms of capabilities and financial benefits.

This role requires you to have:

• Bachelor’s degree in Computer or Industrial Sciences, Business, or a related field.
• 3-5 years of experience in Data Analytics, Business Process Optimization, or Technology Integration.
• Understanding of business processes and ESG indicators such as carbon emissions and governance practices.
• Proficiency in English; Dutch or French is advantageous.

You would benefit from having:

• Experience with data modeling, architecture, and reporting applications.
• Professional certifications like ESG Investing or GRI.
• Familiarity with Automotive, Financial Services, and Life Sciences.

Datashift offers an entrepreneurial team environment and opportunities for growth, focusing on high-quality deliverables and employee development through continuous training.