Are you ready to kick start your career in Industrial Engineering or related fields, and develop real analytical skills that will set you apart? Our **Internship Program** is designed for highly motivated students eager to learn, contribute, and grow in a dynamic business environment.
**What We Offer**
During the internship, you will support Autonomous Maintenance activities by assisting with basic equipment checks, data tracking, and documentation. You will work closely with operations and maintenance teams, gaining hands-on experience in equipment reliability, safety, and continuous improvement in a practical learning environment.
Some of the things you’ll get to do:
- Learn by doing: Support the team with day‑to‑day analyses that help us understand what’s happening in the business.
- Create and improve tools: Help simplify and automate reports that today require senior time—giving the team more space to focus on big, strategic ideas.
- Turn data into insights: Practice transforming numbers into clear messages that support smart decisions.
- Grow your understanding of how digital tools are used to update, organize, and standardize Autonomous Maintenance information, helping teams better control maintenance data and improve daily operations.
**What We’re Looking For**
We’re looking for someone in their final year of university, studying:
- Industrial Engineering or related fields.
And someone who brings:
- Advanced Microsoft Office skills (Excel).
- Interest or experience with Power BI or other data‑analysis tools (nice to have).
- The ability to make sense of data and explain it in simple, clear conclusions.
- A high level of attention to detail and natural curiosity.
- A proactive attitude—someone who likes asking “why?”, challenging information, and suggesting better ways of doing things.
**We’re Looking for Someone With**
- Environmental & Industrial Engineering (**1.5 years remaining).**:
- **Availability to work 30 hours per week.



(Morning)**
- Strong interest in learning how Autonomous Maintenance operates through the use of digital tools, supporting data updates, information control, and standardized maintenance processes to improve daily operations.
- Solid analytical and problem‑solving skills.
- Proficiency in Excel (pivot tables, VLOOKUP, SUMIF, etc. are highly beneficial for this role)
- A results-driven mindset, with the ability to meet deadlines and follow established procedures.
- Intermediate - Advanced English
**What’s Next**
**Get to Know Us**
At Kellanova, we are driven by our vision to be the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio of iconic, world-class brands include Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others.
Kellanova’s Culture of Best means we bring our best to all that we do in pursuit of our vision to be the world’s best performing snacks-led powerhouse. Our culture celebrates boldness and empowers our people to challenge the status quo, achieve results, and win together.
Our focus on Equity, Diversity, and Inclusion (ED&I;) enables us to build a culture of belonging where all employees have a place at the table and are inspired to share their passion, talents and ideas to work.
**What does it take to be the best? Someone like you.**
Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website **here**.

📌 Autonomous Maintenance Intern (San Antonio de la Punta)
🏢 Kellanova
📍 San Antonio de la Punta