Introduction

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day.

Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You'll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.

Your Role And Responsibilities

As a Supply Chain Engineering Professional specializing in Data, Analytics, and Cognitive Tool Development and Support, you will ensure that data, analytics, and cognitive tool development align with overall Supply Chain and Supply Chain Engineering business and technical goals. You will analyze trends and develop tools that deliver consistent reports usable in problem analysis by the broader organization.

Your Primary Responsibilities Will Include

- Analyze Trends and Develop Tools: Observe and learn from data trends to assist in the development of tools that deliver consistent reports, unlocking insights through structured, unstructured, numeric, and non-numeric data.
- Perform Statistical Analysis: Explore and participate in statistical analysis and data mining using programming languages such as Python, Java, JavaScript, and Node.js.
- Understand Data Management: Engage with data sets and assist with data management using SQL, DB2, statistics, SPSS, and Cognos.
- Support Problem Analysis: Contribute to the development of consistent reports usable in problem analysis by the broader organization, applying knowledge of data, analytics, and cognitive tools.




- Learn from Data Insights: Assist with unlocking insights through data analysis, supporting the alignment of data, analytics, and cognitive tool development with business and technical goals.

Preferred Education

Technical Diploma Required Technical And Professional Expertise

- Academic Background: Currently studying (preferably in the final years) for a degree’s in Computer Science, Computer Engineering, Electrical Engineering or similar subjects, with an expected graduation date from 2028 onwards
- Exposure to Data Analysis: Familiarity with analyzing trends and developing tools that deliver consistent reports, unlocking insights through structured, unstructured, numeric, and non-numeric data.
- Basic Understanding of Programming Languages: Interest in programming languages such as Python, Java, JavaScript, and Node.js, with a focus on statistical analysis and data mining.
- Data Management Fundamentals: Curiosity about data management concepts, including SQL, DB2, statistics, SPSS, and Cognos.
- Statistical Analysis Basics: Exposure to statistical analysis and data mining techniques, with an emphasis on exploring and learning from data trends.
- Data Insights Foundation: Basic understanding of how data insights can inform business and technical goals, with a focus on supporting problem analysis and decision-making.
- Language Skills: Intermediate to advanced English (B2)

Preferred Technical And Professional Experience

- Advanced Data Analysis Techniques: Exposure to machine learning, predictive analytics, or data visualization tools to support data-driven insights and decision-making.
- Additional Programming Languages: Interest in other programming languages, such as R or Julia, to expand statistical analysis and data mining capabilities.
- Data Visualization Tools: Curiosity about data visualization tools, such as Tableau or Power BI, to effectively communicate data insights to stakeholders.

📌 Oportunidad de Prácticas: Desarrollador(a) de Software y Analista de Datos (Guadalajara)
🏢 IBM
📍 Guadalajara