Salary
≈ $17k – $36k per year (Estimated)
Location
In office (Singapore)
Seniority
Intern
Employment
Internship
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. BASF scores A on the Alion truth index.
Overview
Company
Impact
Profile match
BASF is a German chemical company headquartered in Ludwigshafen, producing chemicals, materials, industrial solutions, nutrition and care ingredients, and agricultural products such as crop protection and vegetable seeds. Founded in 1865 as Badische Anilin- und Soda-Fabrik, it is the largest chemical producer in the world; the site for this record resolves to BASF in the Netherlands, which has about 1,000 employees and its Benelux head office in Arnhem. Its global board lists SAP consultants and developers, AI platform and data engineers, finance and order-to-cash analysts, procurement and customs specialists, chemists, and interns in digitalisation and EHS.
Backed by Yaletown Partners, Cleantech Scandinavia, Omega Funds
Main Tasks:
SHIPSTA & Freight Rate Database
- Maintain, clean, validate and upload freight rate data in SHIPSTA.
- Check data accuracy and resolve data or system related issues.
- Support continuous improvement and automation opportunities within freight-rate management processes.
Process Improvement & Problem Solving
- Work with logistics buyers across countries to understand and map as-is process, and improve existing processes.
- Identify process gaps, investigate issues, and support problem resolution with business and IT teams.
Data Analysis & Reporting
- Use Advance Excel to analyze, validate, and analyze large freight rate datasets.
- Use SQL to query data and identify inconsistencies and perform data validation.
- Create analytical reports and dashboards to monitor data quality and performance
Documentation
- Document business rules, user requirements, and system processes
Job Requirements:
- Bachelor degree in Computer Science or other disciplines such as Supply Chain Management, Logistics, Information Systems, Business Analytics, Industrial Engineering.
- Strong analytical and problem-solving skills.
- Good understanding of business processes and system/data flows.
- Advance in Microsoft Excel, including PivotTables, lookups, data transformation and handling large datasets.
- SQL : Basic to intermediate knowledge query skills
- Basic understanding of SAP and ERP concepts.
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