Life Cycle Analyst

The Chemours•Wilmington, NC

1d•Onsite

About The Position

Chemours is seeking a Life Cycle Analyst to join their team in Wilmington, DE. This role is ideal for an early career professional looking to develop deep technical expertise in life cycle assessment (LCA) and product carbon footprint (PCF). The successful candidate will work closely with experienced practitioners on rigorous, standards-based assessments. Under the guidance of senior team members, the analyst will support the execution of product level assessments, carbon footprint calculations, and related deliverables across all Chemours products. Chemours is a chemistry company focused on creating essential chemistry that shapes markets, redefines industries, and improves lives through market-leading products with high levels of performance, sustainability, and safety, particularly in sectors like clean energy, advanced electronics, and climate-friendly cooling.

Requirements

Bachelor’s degree in Environmental Science, Engineering, Sustainability, or a related field
0–3+ years of experience in LCA, carbon footprinting, sustainability analytics, or environmental consulting
Strong quantitative and analytical skills, with attention to detail and data quality.
Strong written and verbal communication skills.
Curiosity and eagerness to learn new tools and methodologies

Nice To Haves

Coursework or internship exposure to environmental assessment.
Familiarity with LCA software (SimaPro, OpenLCA, etc.)
Experience with Excel, data visualization, or basic programming (Python/R).
Knowledge of ESG or environmental standards (eg., ISO 14040/44, ISO 14067, GHG Protocol).

Responsibilities

Collect, validate, and organize life cycle inventory (LCI) data and supporting documentation.
Support the execution of Life Cycle Assessments (LCAs) and Product Carbon Footprint (PCF) calculations under senior guidance.
Build and update LCA and PCF models using industry‑standard software tools.
Contribute to technical reports, calculation summaries, data visualizations, and other deliverables.
Support internal quality control processes and respond to data requests.
Collaborate with interdisciplinary project teams and participate in ongoing technical training and methodology development.