About the role

AI summarised

Join the SERE team within Global Supply Chain as a Sustainability Analytics Intern to apply your academic knowledge in regional sustainability projects. You will assist with corporate and site sustainability programs, developing predictive models for energy performance indicators and automating analytical dashboards.

IndustrialOnsite

Key Responsibilities

Develop Predictive Models for Energy Performance Indicator (EnPI) using R, incorporating panel data techniques to account for site-level heterogeneity and seasonal patterns.
Automate and Enhance Analytical Tableau Dashboard using Python/SQL scripts to manage ETL processes, data refreshes, and integrate regional sustainability metrics.
Automate Data Validation Checks using Python/SQL to reconcile data inconsistencies across over 30 data streams, ensuring compliance with CSRD audit standards.
Execute data analyses and collection systems to maximize statistical efficiency and quality improvements in the region's health, safety, and environment.
Use statistical approaches to interpret complex data and analyze project results.
Assist in driving improvements for Schneider Electric ecostruxure (e.g., Resource Advisor and Power Monitoring Expert).
Support sustainability programs to enhance waste management and recycling initiatives in the region.
Gather, organize, analyze, and disseminate information for Health, Safety, and Environment business evaluations.

Requirements

Currently pursuing or recently graduated with a Bachelor’s degree in Data Analytics, Data Science, Business Analytics, Mathematics, or a related field.
Alternatively, possess a Major in Environmental or Sustainability with a minor in a quantitative field.
Proficiency in Python, Java, SQL, or R is required for modeling and automation tasks.
Strong analytical and problem-solving skills are essential.
Ability to work independently and demonstrate strong initiative (Self-starter).
Strong verbal and written communication skills.
Ability to thrive in a fast-paced, international team environment.
Attention to detail and result-oriented mindset.