Carbon Data Analyst

Empowering enterprises to keep the planet habitable for all!

Reversing the impact of climate change is one of the world’s biggest challenges. And businesses have a responsibility to lead the way. While individual consumer choices are important, over 80% of all the emissions reductions necessary for the world to reach Net-Zero, require business-level action. But despite the growing momentum and ambition from companies around the world to set Net-Zero goals, there are significant challenges to delivering on these ambitions. Business leaders don’t really know how they will get there. And the very first step, of getting emissions measurement right, is hard.

Terrascope is an enterprise-grade, end-to-end decarbonisation SaaS platform. By combining AI-assisted carbon measurement & management with deep industry & sustainability expertise, Terrascope helps solve the data management, emissions reduction planning and implementation challenges that large enterprises face to decarbonise their operations and complex supply chains.

Publicly launched in June '22, Terrascope is working with customers in multiple industry verticals such as agriculture, food & beverage and consumer packaged goods, as well as horizontals such as manufacturing, technology, transportation and real estate. Terrascope is an innovative player to support enterprises in their green transformation.

Backed by Nupo Ventures (formerly Olam Ventures) and incubated with support from BCG X, Terrascope has now achieved a number of globally recognised accreditations, with more on the way – including being the first CDP Gold Accredited Software provider from Asia and signing The Climate Pledge to be net zero by 2040. Terrascope aims to lead by example and demonstrate that business growth and carbon reduction can go hand in hand.

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 Head of Implementation.

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.
• 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.
• Bonus: You have prior experience in climate or sustainability related industry and knowledge on Green House Gas Accounting Principles.

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 his or her authentic self.