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Salary: USD 75,000 - 90,000 / annual
Worldly is seeking a Sustainability Data Analyst to partner with cross-functional teams ensuring accuracy, consistency, and integrity of sustainability data provided to customers. This is a hands-on role balancing deep independent analytical work with collaborative stakeholder engagement.
Key Responsibilities:
- Work with large, complex sustainability datasets to support development and maintenance of Worldly's impact content
- Conduct content quality assurance (QA) and user acceptance testing (UAT) for sustainability calculations, metrics, and related content
- Update and maintain complex assessment-defining files based on stakeholder specifications
- Manage analytical content controlling and governing customer data exports
- Investigate and resolve data issues by tracing outputs to source data and underlying logic
- Query Worldly data using SQL to support internal and external customer needs
- Collaborate cross-functionally with product, engineering, and customer-facing teams to align data outputs
- Continuously improve automation, documentation, and internal understanding of calculations and data structures
- Conduct targeted research projects
The ideal candidate is detail-oriented, curious, and a self-starter who enjoys understanding how calculations work, validating assumptions, and ensuring outputs are reliable and defensible.
Requirements:
- Bachelor's degree or equivalent experience in a relevant field (e.g., Sustainability, Environmental Engineering, Data Science)
- 2+ years of experience in an analytical, data-focused, or consulting role
- Strong proficiency in SQL and comfort working directly with raw data
- Solid understanding of sustainability concepts such as environmental impact measurement or carbon accounting
- Exceptional attention to detail and desire to understand data and calculations end-to-end
- Ability to work independently, manage priorities, and move work forward with minimal oversight
- Strong problem-solving skills and persistence with complex or ambiguous data challenges
- Clear written and verbal communication skills for both technical and non-technical audiences
- Comfort working cross-functionally and incorporating feedback from multiple stakeholders
- Claude/AI fluency
Nice-to-have:
- Experience with Python for data analysis or validation
- Comfort writing non-production solutions to analytical and automation problems
- Background in statistics or quantitative analysis
- Familiarity with sustainability reporting frameworks or standards
- Experience with customer-facing data products or platforms
