Carbon Data Analyst
Berlin, Germany
EcoVadis
Detailed insights to confidently manage value chain risk & compliance, build performance for net-zero & sustainability targets, drive value & impact: The universal sustainability ratings & intelligence suite.Company Description
Work smart, have fun and make an impact!
EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.
Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.
Learn more about our team and culture on EcoVadis careers page.
If you have questions about the company or open roles you can chat with an insider.
Job Description
We are looking for a talented Data Analyst with a passion for sustainability to join our team. The ideal candidate will have a strong background in data analysis, with a focus on Carbon metrics and data. They will be responsible for collecting, analyzing, and interpreting Carbon data from various internal and external sources to provide actionable and reliable insights and supply chain data to EcoVadis customers to drive effective decision-making. It will feed EcoVadis’ products and services, ensuring the highest data quality and trust in the carbon data network.
The Carbon Data Analyst key responsibilities include:
- Support development and implementation of data validation methodology, using data-driven insights to drive progress and accountability
- Data collection and organization: Collect, integrate, and organize carbon data from various sources, including company reports, databases, and third-party providers, as well as organizing carbon data from our internal (Metrics) database.
- Proxy Data Modeling: Create and maintain methodology to model carbon data proxies for sectors where data might be incomplete, as well as creating models for estimating robustness of targets and target achievement. These models may incorporate factors such as industry type, geographical location, company size, and other relevant variables. Document methodologies, assumptions and sources used for proxy modeling. Proficiency with AI-based tools is an asset.
- Data Analysis: Analyze carbon performance metrics, such as carbon emissions, energy usage and target progress etc., to identify trends, patterns, and areas for data quality improvement to increase the accuracy of validation results.
- Database Management: Develop and maintain databases and data management systems to effectively store and manage carbon data and corresponding requests.
Qualifications
- Degree in Data Science, Statistics, Environmental Science, Sustainability, or related field. Master's degree preferred.
- 2-3 years of experience in data analysis, with a focus on ESG and sustainability data.
- Expertise in data analysis tools and software, such as Excel, SQL, Databricks, and data visualization tools (e.g., Tableau).
- Strong understanding of GHG accounting standards such as the GHG Protocol, ISO 1064, TCFD, etc, as well as regulations such as CSRD, CBAM, etc.
- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Effective communication skills, with the ability to present findings and recommendations to diverse stakeholders.
- Detail-oriented and highly organized, with the ability to manage multiple projects and priorities.
- Passion for sustainability and carbon stewardship, with a desire to make a positive impact through data-driven solutions.
Additional Information
Location: Berlin
Everyone at EcoVadis contributes to a culture of trust, respect and empowerment. Our growing team in Germany is full of talented professionals from various sectors who all share a desire to make an impact.
We offer competitive salaries and support personal growth from day one with extensive onboarding, mentoring and a brand new e-learning platform bursting with courses and modules so you can learn new skills and fine-tune old ones.
Benefits:
• Support with all the necessary office and IT equipment
• Wellness allowance for mental and physical wellbeing
• Annual performance bonus
• Remote work from abroad policy
• Flexible working hours
• Hybrid/ full remote work
• Health coverage and optional pension scheme
• Internet and electricity bill allowance
• CSR activities
• Subsidized travel and BahnCard 50
• Community service day when volunteering
Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!
Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.
Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Databricks Data management Data quality Data visualization Excel SQL Statistics Tableau
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Salary bonus Wellness
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