Blue Sky Analytics is a Climate Intelligence company specialised in converting satellite data into environmental & climate intelligence for use cases in Carbon Markets, Asset Monitoring, and Climate Risk Analytics.
In simpler terms, we
- monitor deforestation, afforestation, changes related to health of forests, nature based carbon projects, or
- monitor construction of roads, highways, real estate assets, solar plants, transmission lines etc,
- also monitor global water bodies like rivers and lakes, predict floods & droughts,
- monitor wildfires, area burnt & so on, and
- compile all these physical risk parameters into extensive climate risk analytics.
Blue Sky Intelligence has multiple use cases in banking, asset management, insurance, natural capital asset markets, carbon credit markets, supply chain risk management, disaster management, and more.
We are a remote-first team of 25 (data scientists, Engineers, Sales & Marketing) based in Gurugram, Mumbai and The Hague. Awarded for its innovation in Space/ Climate/AI & Data by Bloomberg, Forbes, Fast Company, MIT, Times, The Tech for Global Good, Space Oscars, and recently by World Economic Forum, Blue Sky Analytics is rapidly growing its client portfolio in Carbon Markets and Asset Monitoring serving various global clients with high quality high resolution historical and ongoing monitoring, reporting, and verification (MRV) along with detailed climate risk analytics.
What will I be doing?
- Assist in handling and organizing datasets, including data entry and data cleaning tasks.
- Support the development of data frames and assist in creating automated pipelines for data processing.
- Collaborate with team members to visualize datasets and assist in basic data analysis tasks.
- Participate in cross-functional teamwork to ensure smooth execution of data-related projects.
- Assist in basic curation and analysis of datasets, including basic tasks such as data formatting and organization.
- Contribute to extracting insights from data related to various business operations.
- Assist in creating and maintaining processes/tools for basic data monitoring and accuracy checks.
- Support the team in utilizing geospatial libraries and GIS software for basic data tasks.
- Learn and apply basic statistical techniques and regression analysis under guidance.
- Assist in the production of basic maps and reports showcasing data distribution and trends.
- Learn and apply coding skills in Python, including basic proficiency with tools such as NumPy and pandas.
- Gain hands-on experience with version control systems like git and collaborative platforms like GitHub.
- Contribute to basic tasks involving SQL queries and cloud platforms like AWS (S3 and EC2).
- Display curiosity and eagerness to learn about data analysis and environmental issues
- Currently pursuing a degree in a relevant field (e.g., Computer Science, Data Science, Statistics, etc.).
- Basic understanding of data concepts and eagerness to learn and apply new skills.
- Familiarity with basic coding concepts; prior experience with Python is a plus.
- Strong attention to detail and organizational skills.
- Good communication skills and ability to work in a collaborative team environment.
- Demonstrated interest in environmental issues is a plus.