Remote Sustainability Data Analyst — Entry Level

ResponsibleUs; Northern (KY); On-site; USD 75,000 - 90,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k) match

Equity / stock options

Parental leave

Unlimited PTO

Company holidays

Job summary

Worldly is seeking a Sustainability Data Analyst to join our remote US team. You will work with large sustainability datasets, validate calculations, and ensure data integrity for customer content.

The ideal candidate has a detail‑oriented mindset, a Bachelor's in a relevant field, 2+ years in analytics, and strong SQL skills. Python or AI fluency is a plus, with opportunities to own data processes and contribute to cross‑functional projects.

Qualifications

• Bachelor's degree or similar in Sustainability, Environmental Engineering, Data Science.
• 2+ years of analytical, data-focused, or consulting experience.
• Strong SQL and comfort working with raw data.
• Solid understanding of sustainability concepts (environmental impact, carbon accounting).
• Excellent written and verbal communication for technical and non-technical audiences.
• Ability to work independently with minimal oversight.
• Experience with Claude/AI is a plus.

Responsibilities

• Work directly with large, complex sustainability datasets to support development and maintenance of Worldly’s impact content.
• Conduct QA/UAT for sustainability calculations, metrics, and content for data accuracy and consistency.
• Update and maintain complex assessment-defining files from stakeholder specs.
• Manage analytical content controlling customer data exports.
• Trace outputs to source data and underlying logic to resolve data issues.
• Query Worldly data with SQL to support needs.
• Collaborate cross-functionally with product, engineering, and customer-facing teams.
• Continuously improve automation, documentation, and data structures.
• Conduct targeted research projects.

Skills

SQL

Detail‑oriented

Communication

Self-starter

Claude/AI fluency

Education

Bachelor's degree in a relevant field

Tools

Python

Job description

Worldly is seeking a Sustainability Data Analyst to join our remote US team. You will work with large sustainability datasets, validate calculations, and ensure data integrity for customer content.

The ideal candidate has a detail‑oriented mindset, a Bachelor's in a relevant field, 2+ years in analytics, and strong SQL skills. Python or AI fluency is a plus, with opportunities to own data processes and contribute to cross‑functional projects.