Data Engineer Intern

1 week ago

Harbourfront Avenue, Singapore Coca-Cola Full time

**Position Overview**

The Data Engineer Intern will be a dynamic contributor to the supply chain team's digitization initiatives. They will leverage advanced analytics, machine learning, and artificial intelligence to drive innovation and efficiency in supply chain operations.

**Key Responsibilities**

As a Supply Chain Data Engineer Intern, you will:

- Collaborate with supply chain teams to identify key business challenges and process improvement opportunities.
- Develop interactive, user-friendly dashboards and reports using Microsoft Power BI to visualize critical supply chain metrics (e.g., inventory levels, on-time delivery, demand forecasts, etc.).
- Integrate and consolidate data from multiple sources, ensuring data accuracy, consistency, and scalability.
- Perform exploratory data analysis to uncover trends and insights that drive actionable business outcomes.
- Work closely with stakeholders to gather requirements, iterate on designs, and implement robust solutions.
- Document the design, development, and deployment of dashboards, apps, and data pipelines to ensure future scalability.
- Troubleshoot and optimize Power Platform solutions to ensure high performance and usability.

**Key Outcomes for the Internship**
- Successfully deploy supply chain-focused dashboards or apps using the Microsoft Power Platform that address real business needs.
- Deliver insights and tools that improve transparency and empower stakeholders to make data-driven decisions across the supply chain.
- Develop a scalable framework for ongoing supply chain data analysis and reporting.

**Qualifications**:

- Currently pursuing a **degree** in Computer Science, Data Science, Engineering, or a related field.
- Strong analytical skills with experience in Microsoft Power Platform, SQL, Python, R, or similar data analysis tools.
- Familiarity with machine learning frameworks and libraries.
- Excellent problem-solving abilities and a 'problem first, not data first' approach.
- Ability to work collaboratively in a team environment.
- Strong communication skills to effectively share insights and recommendations.

**Learning Opportunities**:

- Work closely with experienced supply chain professionals and data scientists.
- Contribute to impactful projects that drive operational efficiency and innovation.
- Develop a deep understanding of the supply chain domain and the role of data in decision-making processes.

**Skills**:
organization

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