Position summary

Worldly is hiring a remote Sustainability Data Analyst to ensure the accuracy, consistency and integrity of the sustainability data it provides to customers. This hands-on role works directly with large, complex sustainability datasets, partnering across teams to validate calculations and keep outputs reliable and defensible.

Why this role matters

Worldly's customers depend on trustworthy sustainability data to succeed in a new era of sustainable production. By tracing outputs to source data, running QA and improving automation, this role safeguards the integrity of the impact content at the core of Worldly's platform.

Key responsibilities

• Work with sustainability data to support the development and maintenance of Worldly's impact content.
• Run QA and UAT on sustainability calculations, metrics and content to ensure accuracy and consistency across the platform.
• Maintain assessment files based on stakeholder specifications, and manage analytical content governing customer data exports.
• Resolve data issues by tracing outputs back to source data and underlying logic.
• Query data with SQL to support internal and external customer needs.
• Collaborate cross-functionally with product, engineering and customer-facing teams, and improve automation and documentation.

Team and stakeholders

A remote role partnering across product, engineering and customer-facing teams, balancing deep independent analysis with cross-functional stakeholder engagement.

Key details

• Base salary $75,000 to $90,000 plus 5% annual bonus potential and incentive stock options.
• Benefits include 90% employee premium coverage, 401(k) with up to 4% match, 100% paid parental leave and unlimited PTO. Occasional travel may be required.

Requirements

Essential

• Exceptional attention to detail and a strong desire to understand how data and calculations work end-to-end.
• Bachelor's degree or equivalent experience in a relevant field (sustainability, environmental engineering, data science).
• 2+ years in an analytical, data-focused or consulting role.
• Strong SQL proficiency and comfort working with raw data.
• Solid understanding of sustainability concepts such as environmental impact measurement or carbon accounting.
• Ability to work independently and manage priorities with minimal oversight.
• Strong problem-solving skills and clear communication for technical and non-technical audiences.
• Claude/AI fluency.

Preferred

• Experience with Python for data analysis or validation.
• Comfort building your own 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.