Data Analyst

Poughkeepsie, AR

Full-time

Onsite

New Grad, Entry Level

IBM is looking for a curious and driven New Professional Data Analyst to join their team supporting Supply Chain Manufacturing and Fulfillment Operations. This role offers 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.

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Responsibilities

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.

Qualification

Required

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

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.