Data Analytics Intern

Schneider Electric has a great opportunity for a Data Analytics Intern in the Athens, TX facility for the Summer starting in May of 2026
. This position is on-site so the ideal candidate will be located in the general area.
No visa sponsorship or relocation will be provided for this role.

Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our 135,000+ employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Great people make Schneider Electric a great company.

What do you get to do in this position?

• Support data collection, cleansing, and transformation using Python and Databricks.
• Build and test machine learning models to uncover patterns and predict business outcomes.
• Leverage AI techniques to automate repetitive analytics tasks and enhance data insights.
• Develop interactive dashboards and visualizations in Tableau to communicate key metrics.
• Collaborate with analysts and engineers to optimize data pipelines and ensure data quality.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and improvement opportunities.
• Present findings and recommendations to project teams in a clear, data‑driven manner.

What qualifications will make you successful for this role?

• Curious and excited about turning complex datasets into meaningful insights.
• Comfortable working with Python, machine learning models, and modern AI techniques.
• Passionate about data visualization and enjoy telling stories through tools like Tableau.
• Eager to work with cloud-based analytics platforms such as Databricks.
• A strong problem‑solver who enjoys analytical challenges and exploring new approaches.
• Detail‑oriented with a drive to ensure data accuracy, consistency, and reliability.
• Collaborative, proactive, and open to learning from peers, mentors, and technical experts.
• Motivated to experiment, iterate, and contribute to data‑driven decision‑making.

What You Will Gain

• Practical experience working with real datasets using Python, AI, and ML.
• Hands‑on exposure to Databricks and modern data engineering workflows.
• Strong data visualization and storytelling skills through Tableau projects.
• Mentorship from experienced data and engineering professionals.
• Experience collaborating on cross‑functional analytics projects.
• Increased confidence presenting insights to technical and non‑technical teams.

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

#secareers

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.

€36 billion global revenue

+13% organic growth

150 000+ employees in 100+ countries

#1 on the Global 100 World’s most sustainable corporations