Introduction
You’ll work alongside experienced engineers, analysts, and operations experts to help optimize and transform IBM’s global supply chain. This role offers exposure to cutting-edge tools and platforms, with a strong emphasis on learning, collaboration, and innovation.
Your Role And Responsibilities
Your Role and Responsibilities
IBM is looking for a curious and driven New Professional Data Analyst to join our team supporting Supply Chain Manufacturing and Fulfillment Operations. This is an exciting opportunity for early-career professionals to grow their skills in data analytics, software development, and emerging technologies while contributing to real-world business outcomes.
You’ll work alongside experienced engineers, analysts, and operations experts to help optimize and transform IBM’s global supply chain. This role offers exposure to cutting-edge tools and platforms, with a strong emphasis on learning, collaboration, and innovation.
Your Impact
- Support data-driven decision-making by analyzing operational data and generating insights.
- Collaborate with cross-functional teams to improve processes and systems.
- Assist in building dashboards and reports using tools like Cognos BI and SPSS Modeler.
- Learn and contribute to front-end development using React and modern web technologies.
- Explore and support the integration of APIs (e.g., Slack, Box) to enhance workflow automation.
- Participate in projects involving Generative AI, Agentic AI, and Industry 4.0 technologies.
- Gain exposure to containerized environments, virtual machines, and cloud-based infrastructure.
- Help ensure data and systems meet ITSS compliance standards.
What You'll Learn
- How to work with databases such as DB2, PostgreSQL, and SQL.
- Backend development fundamentals using Node.js, Java, and PHP.
- Best practices in data governance, compliance, and secure system design.
- How advanced analytics and AI are transforming supply chain operations.
- The principles and technologies behind Industry 4.0, including IoT, automation, and smart manufacturing.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.
- Strong analytical and problem-solving skills with a passion for data and technology.
- Basic understanding of programming languages such as Node.js, Java, or PHP.
- Familiarity with databases like DB2, PostgreSQL, or SQL.
- Exposure to front-end development concepts, especially using React.
- Interest in business intelligence tools such as Cognos BI and SPSS Modeler.
- Willingness to learn about container development, virtual machines, and cloud infrastructure.
- Curiosity about emerging technologies including Generative AI, Agentic AI, and Industry 4.0.
- Good communication skills and ability to work collaboratively in a team environment.
- Eagerness to grow professionally through mentorship and hands-on experience.
Preferred Technical And Professional Experience
A recent graduate or early-career professional with a degree in Data Science, Computer Science, Engineering, or a related field. Passionate about data, technology, and solving real-world problems. Eager to learn and grow in a collaborative, fast-paced environment. Familiar with or interested in programming, databases, and analytics tools. A strong communicator and team player.