Data Analyst
2 days ago
Purpose of the Role:
The Data Analyst supports the Demand & Supply Planning Department by transforming data from multiple systems into actionable insights that improve demand forecasting, inventory efficiency, and supplier performance. This role ensures all planning and decision-making are based on accurate, timely, and meaningful data analytics.
Key Responsibilities:
Data Accuracy & Management
Collect, validate, and clean data from ERP, WMS, and sales platform is to ensure consistency.
- Maintain SKU master data, supplier lead times, and historical sales records.
Monitor and correct data discrepancies in collaboration with the Supply Chain Coordinator.
Forecast & Supply Analysis
Support the Demand Planner by preparing statistical analyses and historical trend summaries.
- Evaluate forecast accuracy and identify root causes of variance (MAPE, bias).
Provide insights on seasonality, promotion impact, and product life cycle trends.
Performance Dashboards & Reporting
Develop and maintain dashboards in Excel and Power BI for :
- Forecast accuracy
- Inventory turns and aging
- Supplier delivery performance
- Service Level (OTIF)
Generate weekly and monthly KPI reports for DSP and Management
Process Improvement & Automation
Automate recurring reports and improve data visualization for efficiency.
- Recommend analytics-driven process improvements across the supply chain.
Support digital integration of data between ERP, WMS, and sales systems.
Cross-functional Collaboration
Provide analytical support during S&OP meetings and business reviews.
- Coordinate with Sales, Marketing, Procurement, Warehouse, and Finance for data consistency.
- Translate complex data into clear insights for non-technical stakeholders.
Key Deliverables:
- Weekly KPI Dashboard (Forecast Accuracy, Service Level, Inventory Health)
- Monthly Data Quality and Variance Report
- Quarterly Analytics Improvement Projects (automation or visualization enhancements)
Qualifications:
- Bachelors Degree in Industrial Engineering, Supply Chain Management, Data Analytics, or Statistics.
- Minimum 2-4 years experience in data analysis or supply chain analytics.
- Advanced Excel proficiency (Pivot, Power Query, Macros).
- Experience in Power BI / Tableau for data visualization.
- Familiarity with ERP systems (e.g., NetSuite, SAP, Oracle).
- Knowledge of SQL or Python is an advantage.
Core Competencies:
- Analytical, detail-oriented, and proactive in solving data issues.
- Strong collaboration and communication skills.
- Capable of translating data insights into actionable business recommendations.
- Results-driven, accurate, and efficient.
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