As a Carbon Data Analyst, you will implement clients' carbon measurement on Terrascope's platform, providing feedback for product development improvements.
Empowering enterprises to keep the planet habitable for all, Terrascope aspires to be the easiest carbon measurement and decarbonization platform for companies in the land, nature, and net-zero economy sectors.
Terrascope is a leading decarbonisation software platform designed specifically for the Land, Nature (LAN), and the Net-Zero Economy (NZE). As the easiest-to-use platform for these sectors, our comprehensive solution blends deep industry expertise with advanced climate science, data science, and machine learning. Terrascope enables companies to effectively manage emissions across their supply chains.
Our integrated platform offers solutions for Product and Corporate Carbon Footprinting, addressing Scope 3 and land-based emissions, SBTi FLAG & GHG Protocol LSR reporting, and supporting enterprise decarbonisation goals.
Publicly launched in June 2022, Terrascope works with customers across sectors, from agriculture, food & beverages, manufacturing, retail and luxury, to transportation, real estate, and TMT.
Terrascope is globally headquartered in Singapore and operates in major markets across APAC, North America, and EMEA. Terrascope is a partner of the Monetary Authority of Singapore’s ESG Impact Hub, a CDP Gold Accredited software provider, has been independently assured by Ernst & Young, and a signatory of The Climate Pledge to achieve Net Zero by 2040.
What we are looking for:
We are looking for a Carbon Data Analyst to join the team. You will play the crucial role of implementing a clients first carbon measurement on our carbon platform. Your learnings as you work through this process will feed back to the product development team to further improve yours and the clients user experience on the platform. This role reports into our Director of Sustainability.
In this role you will:
- Collaborate with our Customer Success Managers and interface with the client to define the data required to complete a customer’s organisational carbon measurement
- Work with customers to help them provide the correct data required for calculation. Provide guidance on what additional data is required to enrich raw data sets for footprint measurement.
- Transform unstructured data sets provided by clients into structured data which can be ingested into our products data processing pipeline to calculate carbon emissions.
- Use our platform to calculate, map, and publish carbon footprints that will be used by a company for its carbon measurement, management, and reporting.
- Provide feedback and learnings to our product development team to improve your workflow and extend the platform's capabilities.
You should be/have:
- At least 2 years of relevant experience in a data analytics role.
- This role requires bilingual proficiency in Spanish and English
- Able to communicate, verbally and written, in business level Spanish to interact with Spanish clients
- Skills in writing SQL queries, data engineering and structuring skills, or have a quantitative background with a desire to learn.
- Proficiency in Python.
- Be detail oriented and willing to make sense of unstructured data. You understand how numbers from an excel sheet translate to real world transactions and operations.
- A strong ownership of your work, and are comfortable working in a client facing role.
- A strong verbal and written communicator who can simplify and communicate complex concepts to a novice audience.
- Excited to be part of a team that is looking to solve climate change, and are passionate about this space.
- Prior experience in startups and working with remote teams.
- Comfortable with change and ambiguity.
- Should be seeking to build a sustainability career if not already experienced in carbon accounting
- Bonus: Industry experience in food & agriculture
Benefits
- Remote-first
- Competitive Salary
- Flexible work hours
- Health Insurance
- A new Mac book and budget for WFH accessories
- L&D yearly budget
- upto 4% employer matching for 401(k)
Your Privacy and Fairness in Our Recruitment Process
We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency and minimize bias, we use AI-powered tools to assist with tasks such as resume screening and candidate matching. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. We continuously validate our systems to uphold fairness, transparency, and accountability, ensuring they do not result in unfair or discriminatory outcomes. Your personal data is handled securely and transparently, and final hiring decisions are made by our recruitment team to ensure a human-centered approach. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].
We're committed to creating an inclusive environment for our strong and diverse team. We value diversity and foster a community where everyone can be their authentic self.
Top Skills
Data Science
Machine Learning
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