Sustainability Data Analyst

Worldly · Remote · United States - Remote ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$75k – $90k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • SQL + Sustainability
  • Mid-level role
  • Stock options included
  • Unlimited PTO

Join Worldly as a Sustainability Data Analyst to maintain the integrity of complex environmental datasets. You will validate calculations, conduct quality assurance, and support internal teams by tracing data logic and resolving issues.

This hands-on position balances independent analytical work with stakeholder engagement across product and engineering teams. You will help improve automation and documentation while ensuring customer-facing data remains reliable and defensible.

What you'll do

  • Analyze large sustainability datasets to support impact content development
  • Perform QA and user acceptance testing for metrics and calculations
  • Update assessment-defining files based on stakeholder specifications
  • Manage analytical content governing customer data exports
  • Resolve data issues by tracing outputs to source logic
  • Query data using SQL for internal and external customer needs
  • Collaborate with product and engineering teams on data alignment
  • Improve automation, documentation, and understanding of data structures

What you'll need

  • Bachelor's degree or equivalent in Sustainability, Engineering, or Data Science
  • At least two years of experience in analytical or consulting roles
  • Strong proficiency in SQL and working with raw data
  • Solid understanding of carbon accounting or environmental impact measurement
  • Ability to work independently with minimal oversight
  • Strong problem-solving skills for ambiguous data challenges
  • Clear communication skills for technical and non-technical audiences
  • Fluency with Claude or other AI tools

Nice to have

  • Experience with Python for data analysis or validation
  • Comfort creating non-production solutions for automation problems
  • Background in statistics or quantitative analysis
  • Familiarity with sustainability reporting frameworks
  • Experience with customer-facing data products

Stack

  • SQL
  • Python
  • Claude

How you'll work

  • Fully remote within the United States
  • Occasional travel for team collaboration or events
  • Work-from-home stipends provided

What you get

  • 90% employee premium covered for healthcare
  • 401(k) with up to 4% company match
  • Incentive Stock Options package
  • 100% paid parental leave
  • Unlimited paid time off
  • 13 company holidays
  • 5% annual bonus potential