About the role

AI summarised

Sustainability Analytics Intern at Schneider Electric, supporting the Global Supply Chain SERE team. The role involves developing predictive models for energy performance, automating Tableau dashboards, and performing data validation to improve sustainability metrics. Interns will gain hands-on experience with R, Python, SQL, and Tableau in a hybrid work environment.

IndustrialFull-time

Key Responsibilities

Develop Predictive Models for Energy Performance Indicator (EnPI) using R for multivariate regression and panel data techniques.
Automate and Enhance Analytical Tableau Dashboard using Python/SQL scripts for ETL processes and data refreshes.
Automate Data Validation Checks using Python/SQL to reconcile data across 30+ data streams and ensure CSRD compliance.
Create and execute data analyses, data collection systems to maximize statistical efficiency and quality for HSE.
Use statistical approaches to interpret data and analyze results.
Assist in driving improvement of Schneider Electric Ecostruxure (e.g., Resource Advisor and Power Monitoring Expert).
Support Schneider Electric sustainability programs to improve waste management and recycling programs.
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 related field, or Environmental/Sustainability with minor in former field.
Proficiency in Python/Java/SQL/R.
Proficiency using Microsoft Office Applications.
Ability to navigate in ambiguous environment and have sound judgement.
Ability to work in a fast-paced, international team environment.
Self-starter with ability to work independently.
Strong analytical and problem-solving skills.
Strong verbal and written communication skills.
Result-oriented, attention to details, proactive, dynamic, and effective.