Data Analyst

Essential Duties and Responsibilities:

Develop, maintain and enhance Power BI dashboards to support warehouse and logistics visibility/decision-making.

Automate recurring reports and data processes using Power BI, Power Query, Power Automate, or equivalent tools.

Maintaining KPI reports for Warehouse & Logistics performance.

Perform data validation, reconciliation and ensure accuracy of data within WMS, ERP and other operational systems.

Analyse operational trends and provide insights on productivity, cycle time, space utilization, inventory aging, logistics cost and other KPIs.

Work closely internal stakeholder such as IT teams to ensure smooth information flow and timely updates.

Assist in troubleshooting system data issues and support basic enhancements with IT/System Support teams.

Develop advanced Excel-based tools (Pivot, Power Query, advanced formulas) for ad-hoc analysis and operational problem-solving.

Participate in process improvement initiatives, focusing on data-driven insights and opportunities for automation or simplification.

Maintain proper documentation, reporting structures, audit trails and data governance compliance.

Perform other ad-hoc duties or analysis tasks as assigned by the immediate superior.

Educational/Certification Requirement:

Bachelor’s Degree in Data Analytics, Supply Chain, Logistics, Industrial Engineering, Statistics, Computer Science, or equivalent.

Certifications in Power BI, Power Platform, SQL, or data analytics are advantageous but not mandatory.

Experience Requirement:

Minimum 1–3 years of experience in data analysis, preferably within warehouse, logistics, supply chain, or manufacturing operations.

Strong to advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, advanced formulas (XLOOKUP, INDEX/MATCH, SUMIFS), and data modeling.

Hands-on experience in developing Power BI dashboards (DAX knowledge is preferred but not mandatory).

Experience in automating reports or workflows using Power Query or Power Automate is an advantage.

Familiarity with ERP/WMS systems (e.g., SAP, Oracle, Infor, Microsoft Dynamics) is preferred.

Analytical and innovative mindset with the ability to interpret operational data and provide clear, actionable insights.

Strong communication and stakeholder management skills.

Ability to work in a fast-paced environment and manage multiple priorities effectively.

Attention to detail, strong data accuracy discipline and consistent documentation habits.

Able to support extended hours or weekend tasks when required based on operational needs.