Data engineer

The opportunity

Hitachi Energy is renowned worldwide as a specialist for electrical power transmission and distribution. As a global leader, we revolutionized high-voltage technology and pioneered many world's firsts to bring safety, reliability and efficiency to power networks around the globe. High Voltage Products manufacturing facilities around the world, >100 locations worldwide providing 24/7 service. We have No.1 market share, installed 1 out of 4 high-voltage switchgear in the world, >500k high-voltage circuit-breakers installed globally.

How you'll make an impact

1. You will continuously monitor logistics operational KPIs, including logistics costs, book-to-physical inventory accuracy, packaging and shipment quality, delivery performance, and contractor KPI performance.

2. You will collect, cleanse, and analyze logistics business data covering transportation, warehousing, shipment, and reconciliation, to identify anomalies and emerging risk trends.

3. You will be responsible for logistics-related SAP applications, standardizing and optimizing operating procedures and resolving SAP application issues.

4. You will produce logistics operational analysis reports and visualization dashboards to support monthly/quarterly operational reviews, contractor management, and continuous improvement.

5. You will streamline and optimize logistics data processing workflows to reduce manual operations and improve data efficiency and accuracy.

6. You will be responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

7. Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background

1. You hold a bachelor's degree or above, majoring in Logistics, Computer Science, Information Management, or related fields.

2. At least 3 years of relevant working experience; familiar with logistics transportation and warehousing processes. Experience in reconciliation, reporting, and SAP is preferred.

3. Proficient in using Excel Macros / VBA / Power Query to improve data processing efficiency.

4. Able to use tools such as Power BI for logistics operational data visualization and analysis.

5. Strong communication and coordination skills, good logical thinking, and the ability to enhance work efficiency through digital tools with strong learning ability.