The Supply Chain Data Analyst is responsible for transforming operational and transactional data into actionable insights that support strategic and operational decision-making across the supply chain organization. The role focuses on data analytics, data mining, process review, gap analysis, reporting, and continuous improvement initiatives to enhance efficiency, cost optimization, service delivery, inventory management, supplier performance, and governance compliance.
The role serves as a key partner to procurement, logistics, warehouse, planning, finance, and operations teams by providing accurate analysis, identifying trends and process inefficiencies, and developing performance dashboards and management reports.
1. Data Analytics & Business Insights
- Collect, consolidate, validate, and analyze large volumes of supply chain data from multiple systems and sources.
- Develop analytical models to identify operational trends, risks, inefficiencies, and optimization opportunities.
- Perform descriptive, diagnostic, and predictive analytics to support supply chain planning and decision-making.
- Analyze procurement spend, supplier performance, inventory movements, logistics costs, demand patterns, and service levels.
- Translate business requirements into analytical frameworks and actionable insights.
- Provide recommendations to improve operational efficiency, cost savings, process compliance, and customer service performance.
2. Data Mining & Data Management
- Extract and mine data from ERP systems, databases, procurement systems, logistics platforms, and spreadsheets.
- Conduct data cleansing, normalization, validation, and integrity checks to ensure data accuracy and reliability.
- Develop automated data extraction and transformation processes where applicable.
- Maintain data repositories, reporting templates, and master data consistency.
- Identify anomalies, exceptions, and data quality gaps impacting reporting and operational performance.
- Support governance initiatives related to data standards and reporting accuracy.
3. Process Review & Continuous Improvement
- Review end-to-end supply chain processes to identify operational inefficiencies, bottlenecks, redundancies, and control gaps.
- Conduct process mapping and workflow analysis across procurement, logistics, inventory, warehouse, and planning functions.
- Support process improvement initiatives using data-driven recommendations.
- Participate in continuous improvement programs and operational excellence initiatives.
- Monitor implementation of corrective actions and process enhancement initiatives.
- Assist in documenting standard operating procedures (SOPs), policies, and governance controls.
4. Gap Analysis & Performance Monitoring
- Conduct gap analysis between current operational performance and defined KPIs, SLAs, policies, and targets.
- Identify root causes of process failures, delays, overspending, inventory variances, and service disruptions.
- Develop variance analysis reports and operational performance scorecards.
- Recommend corrective actions and improvement plans based on analytical findings.
- Monitor compliance with procurement policies, inventory controls, and operational governance requirements.
5. Reporting & Dashboard Management
- Prepare recurring and ad hoc reports for management, operations, and executive leadership.
- Develop dashboards and visualization tools for supply chain KPIs and operational metrics.
- Ensure timely and accurate reporting of procurement savings, inventory levels and aging, supplier performance, logistics costs, forecast accuracy, and operational productivity.
- Present analytical findings and recommendations to stakeholders in a clear and concise manner.
- Automate recurring reports and improve reporting efficiency where possible.
