Carbon Data Analyst Intern

1 day ago


Kallang, Singapore Unravel Carbon Pte Ltd Full time

**ABOUT UNRAVEL CARBON**

Based in Singapore, Unravel Carbon is an enterprise software that helps companies in Asia track and reduce their carbon emissions.

We host the first AI-powered decarbonization platform in Asia that converts any company’s accounting data into full supply chain emission data in seconds, generates climate solutions and auto-populates regulatory disclosure reports.

We aim to accelerate the participation of all companies, big and small, in the global fight against climate change. And we want to do it the 21st century way—autonomous, painless, and beautiful.

Unravel consists of a team of software engineers, data scientists, founders and climate experts with a passion to solve the world’s most pressing issue—climate change. Collectively, our leadership team has launched and invested in multiple companies, and are now combining their experience and knowledge here at Unravel.

We are backed by some of the world’s best funds and investors such as Y Combinator, Sequoia, Alpha

JWC, Amasia, Rebel Fund and Bradley Horowitz.

Unravel was founded in Q4/2021 with headquarters in Singapore.

**ABOUT THE ROLE**

This role is a key part of our sustainability and data team. We’re looking for an intern to help expand and improve our carbon emissions data. As a Carbon Data Analyst intern, you will:

- Work directly with the sustainability and tech teams at Unravel
- Assist with population of the data warehouse of public and proprietary datasets
- Work with the sustainability team to identify data needs, transformation, and computation necessary for carbon estimation
- Perform thorough validation of the analysis
- Assist with transformation and classification of input datasets
- Provide input into the outputs/dashboards of the system
- Assist with data science and engineering projects

**ABOUT YOU**
- Willingness to learn, be a self-starter
- Meticulous and detail-oriented
- Have hands-on experience working with data using Python
- Are excited to make data and analyses re-usable
- Have an interest in data science and transforming data into information

**YOUR WORK STYLE**
- Analytical and detail-oriented - capable of navigating and combining various datasets to pull out key insights
- Proven ability to work in a fast-paced environment, while being flexible to evolving responsibilities and last-minute changes
- Self-starter (proactive and independent) with a proven ability to prioritize different assignments and tasks to meet deadlines
- Comfortable working in a collaborative environment
- Ability to think outside of the box and creatively problem solve
- Experience in working cross-functionally across multiple stakeholders
- *Excellent English written and oral communication skills to translate the data into understandable (visual) insights

**YOUR PREFERRED BACKGROUND**

You have awareness of and a willingness to further learn about:

- Development of emissions inventories across corporate value chains - Scope 1, 2 and 3 emissions
- GHG emissions calculations and emissions factors databases that can be used for Scope 3 emissions estimation
- Life Cycle Analysis, life cycle inventories, and impact databases to calculate environmental impacts, embodied emissions, etc. from bills of materials data and other material flow data

You have experience in:

- Programming knowledge in Python
- Data manipulation, analysis and visualisation
- Knowledge of Database Systems
- Data science and engineering

**WHAT WE OFFER YOU**

We offer an exciting challenge for a purpose-driven person who thoroughly enjoys learning and takes up responsibilities in a multi-cultural pioneering organization.

We nurture a culture that allows you to thrive, where your skills can be honed and your ideas will be heard, and where collaboration across teams and with global partners is the default.

For this role, we offer a contract for 40 hours per week with a duration to fit your studies/schedule. This could be extended depending on performance.

**Salary**: From $1,000.00 per month

Schedule:

- Monday to Friday


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