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Posted 2h ago•Köln
Data Analyst
MiddleOn-site (Köln)Salary undisclosed
Required Skills
SQL
Job Description
To strengthen our IT & Technology team, we are looking forward to welcoming you as a Data Analyst at our headquarters in Cologne.
In this role, you will play an important part in turning certification-related data into meaningful insights and supporting data-driven decision-making across ISCC. You will analyse, clean and interpret data in close collaboration with subject matter experts and data engineers, while also contributing to initiatives that improve the quality, consistency and usability of our data.
If you are passionate about data, sustainability and technology and would like to join a culturally certified Great Place to Work® company with highly motivated and diverse teams making a real difference, we look forward to your application!
Your main duties will be:
Your tasks
ISCC – International Sustainability and Carbon Certification is one of the leading certification systems for sustainability, traceability and the reduction of greenhouse gas emissions. Our activities and impact are expanding, and our teams have been growing exponentially over the past three years.To strengthen our IT & Technology team, we are looking forward to welcoming you as a Data Analyst at our headquarters in Cologne.
In this role, you will play an important part in turning certification-related data into meaningful insights and supporting data-driven decision-making across ISCC. You will analyse, clean and interpret data in close collaboration with subject matter experts and data engineers, while also contributing to initiatives that improve the quality, consistency and usability of our data.
If you are passionate about data, sustainability and technology and would like to join a culturally certified Great Place to Work® company with highly motivated and diverse teams making a real difference, we look forward to your application!
Your main duties will be:
- Extracting, cleaning, transforming and analysing certification-related data to support colleagues in data-driven decision-making
- Identifying trends, patterns, inconsistencies and data quality issues and translating findings
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