Buckeye Global

Sustainability Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sustainability Analyst on a 6-month contract (part-time, 15-20 hours/week) in Clark, NJ (hybrid). Requires a Bachelor's degree and 1-3 years in packaging or sustainability, with strong MS Excel and Power BI skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
264
-
πŸ—“οΈ - Date
July 10, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Clark, NJ
-
🧠 - Skills detailed
#Data Extraction #Database Systems #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Data Analysis #Pivot Tables #BI (Business Intelligence) #Documentation #Data Manipulation
Role description
Title: Temporary Sustainability & Packaging Operations Analyst Duration: 6 Months Contract – W2 (Part-Time / 15-20 Hours per Week) Location: Clark, NJ 07066 (Hybrid) Note: Hybrid Shift - 1x per week in office, 4x per week remote (Part-Time / 15-20 Hours per Week) Key Duties & Responsibilities: β€’ KPI Tracking: Pull, compile, and assess monthly sustainability and packaging KPIs and performance trends. β€’ Data Extractions: Run Power BI extractions, manage data sets, and prepare routine sustainability reports. β€’ Testing Coordination: Submit and track packaging recyclability testing requests with internal and external partners. β€’ Operational Support: Assist with transactional data entries, system updates, and documentation of packaging sustainability efforts. β€’ EPR Calculations: Calculate Extended Producer Responsibility (EPR) fees. Required Background & Skills: β€’ Education: Bachelor’s degree in Engineering, Data Analytics, Sustainability, or a related technical discipline. β€’ Experience: 1–3 years of proven experience in package engineering, sustainability, or operational data analysis (cosmetics or consumer goods experience is a plus). β€’ Technical Skills: Strong proficiency in MS Excel (data manipulation, pivot tables, formulas) and experience extracting data from Power BI or database systems.