Bachelor's degree in Engineering, Sustainability, Environmental Science, Economics, Business Management, or a related field, with at least 3 to 5 years of experience in sustainability management and reporting.
A Master's degree and professional certifications in ESG-related disciplines are an added advantage.
Possess a strong understanding of ESG and sustainability concepts, including relevant standards, frameworks, regulations, and reporting requirements.
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Studying or graduated in Data Analytics, Data Science, Statistics, Data Engineering, Computer Science, Business, or related field — but open to other degrees if you have a keen interest in IT/AI and have built vibe-coded projects (using tools like Claude, Codex, ChatGPT, etc.)
Sound analytical thinking — able to interpret data, spot patterns, and draw logical conclusions
Lead client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design solution architectures using our low-code data science studio, visual ETL, and lakehouse with CDC, balancing maintainability and scale.
Write maintainable Python to extend and integrate platforms, build APIs, custom transformations, model logic, and automation where visual tools are insufficient.
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