Senior Data Analyst (Material Management)

Job Purpose:

The Senior Data Analytics Specialist supports procurement and supply chain operations by analyzing large datasets, identifying insights, and driving data-based decision-making. This role ensures that purchasing strategies, supplier performance, inventory management, and cost optimization are guided by accurate, actionable data.

Key Responsibilities:

Data Analysis & Reporting

• Collect, clean, and analyze procurement and supply chain data from ERP systems (e.g., SAP, Oracle, Power BI, etc.).
• Develop dashboards and reports to track KPIs such as supplier performance, cost savings, lead times, and stock turnover.
• Identify trends, patterns, and anomalies to support strategic sourcing and demand planning.
• Provide ad hoc and periodic analytical support to procurement and logistics teams.

Process Optimization

• Evaluate procurement cycles, inventory levels, and supplier reliability to recommend process improvements.
• Use predictive analytics and forecasting models to optimize inventory and demand planning.
• Support initiatives for cost reduction and operational efficiency through data-driven insights.

Collaboration & Business Support

• Partner with procurement, supply chain, and finance teams to define data requirements and business KPIs.
• Support supplier evaluation, category strategy, and risk management through analytical input.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Data Management & Systems

• Ensure data accuracy, integrity, and consistency across all procurement and logistics systems.
• Work with IT and data engineering teams to automate data pipelines and reporting tools.
• Maintain and enhance business intelligence dashboards (e.g., Power BI, Tableau, Qlik).

Qualifications & Requirements:

• Education: Bachelors degree in Data Science, Statistics, Supply Chain Management, Engineering, or a related field. Masters degree is a plus.
• Experience: 5+ years of experience in data analytics within procurement or supply chain.
• Technical Skills:
• Advanced Excel and SQL skills.
• Proficiency in BI tools (Power BI, Tableau, or similar).
• Experience with ERP systems (SAP, Oracle, or similar).
• Strong understanding of statistical analysis, forecasting, and data visualization.