Data Analytics Intern (Inventory Optimization)

Descripción del puesto:

As an Intern, you will:
- Immerse yourself in the IP team's various work processes to understand the different nature of stock items and develop relationships among these parameters.
- Propose innovative solutions to automate tasks, enhance productivity, and streamline workflows.
- Develop data-driven solutions to support and improve decision-making. Formulate purchase strategies to reduce inventory holding value, focusing on:
>> Demand planning and forecast
>> Supply planning and forecast (purchase cycle, frequency, quantity, etc.)
>> Stock holding levels
What you can expect during the internship:
- Acquire comprehensive knowledge of supply chain management, including demand and supply planning, inventory management, and warehouse operations.
- Engage with real-world complex data and develop skills to analyze large data sets from the Hive data warehouse.
- Master and implement cutting-edge digital and process automation tools such as UiPath, Power Automate, Power Apps, Power BI dashboards, Python for data analytics, and Generative AI.
What we are looking for:
- Currently pursuing a Degree in Computer Science
- Able to commit to a 3-month internship (state your availability in your CV)
- Experience in data analytics (with experience in large volume data processing within data platform)
- Familiarity with programming language: Python & SQL
- Familiarity with Robotic Process Automation: UiPath, MS Power Automate, MS Power Apps
- Familiarity with Data processing & visualization: MS Excel & Power BI
- Proficiency in Microsoft 365 tools: SharePoint, MS Form, Excel, Power BI
- Familiarity with Gen AI & Chatbot
Join us to gain hands-on experience in a fast-paced environment, enhance your skillsets, and make a tangible impact on our inventory management processes. This is an exciting opportunity to work with a dynamic team and develop skills that are highly valued in today's data-driven world. Apply now and be part of the IP team's success story!

Only shortlisted candidates will be notified.

Advertised: 04 Feb 2025

Applications close: 31 Dec 2025