Data Analyst (Global Logistics Project)

About the RoleWe are looking for a Data Analyst to join a global logistics project, supporting data analytics, business intelligence, and AI/ML initiatives across multiple markets. The ideal candidate has strong hands-on experience with Microsoft Fabric, Power BI, SQL, and exposure to Machine Learning.Key ResponsibilitiesAnalyze global logistics, supply chain, transportation and operational data to identify trends and business insights.Develop and maintain Power BI dashboards, reports and data visualizations.Work extensively with Microsoft Fabric, including Data Lake, Data Warehouse and Data Engineering capabilities.Build and optimize data models, datasets and ETL/ELT pipelines.Apply Machine Learning techniques to support forecasting, prediction, optimization and business decision-making.Work with data scientists / data engineers to develop and deploy ML models where required.Use Python or similar tools for data analysis, statistical modelling and ML.Collaborate with global business and IT teams to gather requirements and deliver data-driven solutions.Ensure data quality, accuracy and consistency across analytics platforms.Requirements3+ years of experience in Data Analytics / Business Intelligence.Strong hands-on experience with Power BI, including DAX, Power Query and data modelling.Strong experience with Microsoft Fabric and modern Microsoft data platforms.Strong SQL skills and good understanding of data warehouse concepts.Hands-on experience with Machine Learning / predictive analytics is highly preferred.Experience with Python, Pandas, Scikit-learn or similar ML libraries is an advantage.Experience working on global or large-scale projects.Logistics / supply chain / transportation experience is a strong advantage.Strong communication and stakeholder management skills.The company has great reputation and offers a permanent position to the suitable candidate. This will be a great opportunity for you if you are looking for a good career path in the IT industry. If you are interested and qualified, send your CV in word format to Sandy, s.lai@tenthrevolution.com or call me at +852 3018 0381 to discuss further.