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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.

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.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.