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Introduction

IBMers are always advancing. Continuous learning, innovation, agility, passion, and resiliency are the qualities you’ll find instilled in our Supply Chain Organization. They are the reason our teams are capable of delivering world class products and solutions to our clients and partners every single day. Our teams strive to unleash the endlessly evolving power of new technologies to create a transparent, intelligent, predictive global supply chain for today and for the future. Our opportunities are expansive, allowing you to enhance your skillset, and broaden your knowledge of how a supply chain really works. With an endless network of experienced Supply Chain.

Specific roles and responsibilities will vary among the individual positions, however, regardless of the team you may find yourself on, you will be exposed to all of the functions our supply chain serves and gain an in-depth understanding of the business and what makes it work.

Your role and responsibilities

Who You are:

* You believe in continuous growth and learning

* You are comfortable taking calculated risks

* You are team oriented

* You are resilient

* You are excited by the implementation of advanced technologies such as AI, Blockchain, and IoT

* You enjoy problem solving

* You like collaborating with people across the globe

* You enjoy utilizing and learning data analysis skills to provide actionable insights

* You are passionate about innovation.

Required technical and professional expertise

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 technical and professional experience

* Knowledge 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.