Summary
Worldly is a sustainability technology company focused on helping customers support sustainable production. The Sustainability Data Analyst will ensure the accuracy, consistency, and integrity of complex sustainability data by conducting quality assurance, testing calculations, investigating data issues, querying data with SQL, and collaborating with cross-functional teams.
Responsibilities
- Work directly with large, complex sustainability datasets to support the 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 to ensure product and data accuracy and consistency across the Worldly platform
- Update and maintain complex assessment-defining files based on specifications from stakeholders
- Manage analytical content that controls and governs customer data exports
- Investigate and resolve data issues and questions by tracing outputs back to the source data and underlying logic
- Query Worldly data with SQL to support internal and external customer needs
- Collaborate cross-functionally with product, engineering, and customer-facing teams to align data outputs that meet platform needs and customer expectations
- Continuously improve automation, documentation, and internal understanding of calculations, metrics, and data structures
- Conduct targeted research projects
Skills
- • Exceptional attention to detail and a strong desire to understand how data and calculations work from end-to-end
- • Bachelor's degree or similar experience in a relevant field (e.g., Sustainability, Environmental Engineering, Data Science)
- • 2+ years of experience working 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
- • Ability to work independently, manage priorities, and move work forward with minimal oversight
- • Strong problem-solving skills and persistence when working through 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
- This role may require occasional travel to support business needs, including but not limited to team collaboration, customer engagement, or company events
- • Experience with Python for data analysis or validation
- • Comfort vibecoding your own non-production solutions to analytical and automation problems
- • Background in statistics or quantitative analysis
- • Familiarity with sustainability reporting frameworks or standards
- • Experience working with customer-facing data products or platforms
Qualifications
Must Haves
- • Exceptional attention to detail and a strong desire to understand how data and calculations work from end-to-end
- • Bachelor's degree or similar experience in a relevant field (e.g., Sustainability, Environmental Engineering, Data Science)
- • 2+ years of experience working 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
- • Ability to work independently, manage priorities, and move work forward with minimal oversight
- • Strong problem-solving skills and persistence when working through 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
- This role may require occasional travel to support business needs, including but not limited to team collaboration, customer engagement, or company events
Nice to Haves
- • Experience with Python for data analysis or validation
- • Comfort vibecoding your own non-production solutions to analytical and automation problems
- • Background in statistics or quantitative analysis
- • Familiarity with sustainability reporting frameworks or standards
- • Experience working with customer-facing data products or platforms
Benefits
- Comprehensive benefits offerings - 90% employee premium and 75% spouse/dependent premium are covered by Worldly
- Company-sponsored 401(k) with up to 4% match for US-based employees
- Incentive Stock Options
- 100% Parental Paid Leave
- Unlimited PTO
- 13 company holidays
- 5% Annual Bonus Potential
- Work-From-Home Stipends
- Healthcare for US employees
- Retirement matching for US employees
- Flexible time off
- Join the culture committee, coffee chats, or a variety of other interest groups