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Our Company
Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).
The Opportunity
The Data Analyst (PowerBI) position is a part of the Global IT Department, which is directly overseen by the Group's CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!
Job Responsibilities:
. Respond to user requests to modify our existing PowerBI resources (10 workspaces, 30 semantic models, 100 dashboards) create new PowerBI resources when necessary
. Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse (Azure Databricks)
. Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations make suggestions to the data team as a whole about how to service the organization better
. Regularly audit data quality and security on both our PowerBI and data warehouse environments
. Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented
Requirements:
. Preferably 3+ years SQL experience
. Preferably 2+ years PowerBI experience Preferably
. Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.
. Fresh graduates from universities with at least 3 months of internship experience are welcome to apply.
Desirable Qualities:
. Python/Pandas experience
. Previous work experience related to with B2B ERP/TMS systems
. Previous work experience related to container shipping, freight forwarding, or maritime logistics
Job ID: 144234809