Hybrid Sustainability Data & Reporting Advisor

Hybrid Sustainability Data & Reporting Advisor

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Dr. Martens

At a Glance

  • Tasks: Gather and interpret data for accurate ESG reporting and support compliance.
  • Company: Join Dr. Martens, a brand committed to sustainability and innovation.
  • Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving meaningful change in the industry.
  • Why this job: Make a real impact on sustainability while influencing key stakeholders.
  • Qualifications: Experience in data analysis and strong communication skills required.

The predicted salary is between 40000 - 50000 £ per year.

Dr.

Martens in London seeks a Sustainability Advisor to gather, validate and interpret data for accurate ESG reporting, and to support compliance with standards.

You’ll work with operational teams and the Sustainability Reporting Manager to embed robust data processes across the business.

You’ll lead or support data improvement projects, respond to audits, and drive credible, transparent metrics.

The role emphasizes influencing stakeholders and delivering timely sustainability insights that

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Hybrid Sustainability Data & Reporting Advisor employer: Dr. Martens

Dr. Martens is an exceptional employer that champions creativity and innovation, offering a hybrid working model that promotes work-life balance. With a strong focus on employee growth through diverse projects and collaboration with cross-functional teams, the company provides valuable benefits such as healthcare, employee discounts, and volunteer days, making it a rewarding place for those looking to make a meaningful impact in the world of digital experiences.

Dr. Martens

Contact Details:

Dr. Martens Recruitment Team

We think you need these skills to ace Hybrid Sustainability Data & Reporting Advisor

Communication Skills
Problem-Solving Skills
Python
Automation
SQL
Attention to Detail
Data Engineering