Carbon data analyst

Watershed is seeking data analysts to play a crucial role in their mission to build the most comprehensive data set on global carbon emissions. The successful candidates will be responsible for transforming raw business activity data into final carbon numbers and ensuring that customers understand the process. They will also contribute to the development of tools, products, and measurement approaches for the company. This role requires strong analytical skills, attention to detail, and the ability to work with unstructured data.

• Partner with Customer Success Managers to define data needs for each measurement
• Ingest and transform unstructured data sets for processing in carbon data pipelines
• Use internal tooling to calculate, test, and publish finalized carbon footprint assessments
• Work with customers to help them upload correct raw data for measuring their footprint and validate the uploaded data
• Build and improve internal tools and methodologies for analyzing and validating user carbon footprints
• Have 2+ years experience in an analytical and/or customer-facing role
• Have experience writing SQL queries or a desire to learn
• Meticulous and detail-obsessed, ensuring accuracy in numbers
• Organized, systematic, and efficient in a high-volume environment
• Willingness to work with unstructured and inconsistent data and map numbers to the real world

• 2+ years experience in an analytical and/or customer-facing role
• Experience writing SQL queries, or a quantitative background and desire to learn
• Meticulous and detail-obsessed
• Organized, systematic, and efficient
• Willingness to work with unstructured and inconsistent data
• Good intuition for how numbers in a table map to the real world

• Opportunity to work at a mission-oriented startup
• Collaboration in shaping the culture of a growing team
• Offices in San Francisco, New York, and London
• Remote work options available
• Opportunity to contribute to solving climate change
• Long-term distributed team
• Transparent and lack of surprise interview process