As an IT Intern in Digital Technology & Analytics (DT&A) department at Louis Dreyfus Company, you will be supporting the team on process improvements, data analysis and visualization projects. This internship is designed to provide you exposure to the DT&A function, gaining hands-on experience and practical knowledge that would be valuable for your future career in Information Technology.
Internship duration:
- Between Jan to June 2025
Main Responsibilities:
- Design and develop the data model and ETL flow, from the source systems to data lake and/or Power BI
- Ensure data quality by performing data cleanup and validations
- Manage changes, new requirements and documentation of your solution. Ensure the solution is aligned with business needs
- Develop actionable business insights through data analysis and visualization
- Create informative, visually appealing power BI dashboards or BI reports based on users' requirements to simplify current reporting process and communicate data driven insights effectively
- Identify opportunities for AI use cases and conduct proof of concept
Key Learning:
- Gain proficiency in data analysis and techniques
- Develop problem solving skills by tackling complex data related challenges and learn to identify areas for improvements in business operations
- Transform various raw data into actionable insights and make a meaningful impact on business operations
- Hands on experience in data analysis and using BI tools e.g., Power BI with the real-world project and datasets
- Opportunities to communicate complex data findings effectively to both technical and non-technical stakeholders to drive business decisions. And collaborate with experienced professionals in a team environment.
- Gain exposure to commodity trading industry, work closely with functional teams (trading, commercial, finance etc.) and transform business processes
Requirements:
- Strong communication skills and interpersonal skills
- Basic knowledge of database competencies (Oracle and/or MS SQL Server), being able to navigate through data via SQL statements and create queries.
- BI technologies knowledge and experience in data visualization, ideally in Microsoft Power Suite (Power BI, Power Automate)
- Familiarity with Azure data products e.g. Azure Synapse, Databricks a plus.
- Curiosity for exploring and understanding complex business processes and learn new technologies
