Environmental Data Strategist
1 maand geleden
We are seeking a highly skilled data analyst to join our team at Royal BAM Group. As an Environmental Data Strategist, you will play a key role in driving the company's sustainability strategy forward.
Job DescriptionIn this role, you will be responsible for consolidating and reporting non-financial data, as well as developing and maintaining collaborative relationships with operating companies on sustainability and safety topics.
You will inform management on progress towards targets and advise on future target setting and strategy development, staying up-to-date with developments in non-financial trends and regulations such as the EU taxonomy and CSRD.
Key Responsibilities:
- Validate, process, and report non-financial data.
- Establish and maintain collaborative relationships with operating companies.
- Inform management on progress towards targets.
- Stay up-to-date with developments in non-financial trends and regulations.
The ideal candidate will have a Master's degree in a relevant field, 2-5 years of experience in data analysis, and excellent analytical and data manipulation skills. You will also be passionate about sustainability analytics and business improvements, with knowledge of analytical/statistical software such as SAP-BPC, Excel, and Power BI.
We offer a competitive salary between €4,170 and €5,200 gross per month, depending on your knowledge and experience, as well as good secondary employment conditions including a budget for sustainable employability, 25 vacation days, 15 schedule free days, and reimbursement of travel costs.
Required Skills and Qualifications- MSc or equivalent qualification in a relevant field.
- 2-5 years of relevant work experience.
- Excellent analytical and data manipulation skills.
- Knowledge of analytical/statistical software.
- Fluent communication skills in English.
We prioritize creating a positive and inclusive work culture, offering opportunities for professional growth and development. If you're passionate about sustainability and data analysis, we encourage you to apply.
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