Procurement/Commodity Analyst
Profile Code: AL-AGR-03
- ₹7.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Commodity market analysis and procurement analytics | Supplier evaluation and performance management | Cost optimization and negotiation analysis | Data analysis and statistical modeling | SQL and data management skills | BI tools like Power BI and Tableau | Supply chain and sourcing strategies | Risk assessment and mitigation techniques | Contract and procurement compliance understanding | Data visualization and reporting | Market trend and price fluctuation analysis
Overview Video
About This Course
A Procurement/Commodity Analyst in the agriculture, agritech, and food processing sector focuses on tracking commodity prices, evaluating supplier performance, and analyzing cost drivers to support efficient sourcing decisions. This course equips learners with the skills to monitor market trends, assess procurement data, and build structured reports for informed decision-making. Participants gain hands-on experience with tools like Excel, SQL, and BI to analyze pricing patterns and supplier metrics. The program emphasizes strategic sourcing, cost optimization, and data-driven negotiation preparation. Learners will understand how to evaluate vendor performance, manage risks related to price volatility, and improve procurement efficiency across agri value chains. By the end of the course, they are prepared for roles in procurement and commodity analytics, with career growth into strategic sourcing and supply chain leadership positions.
Course Content
4 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Procurement and Commodity Analysts in the Agriculture, AgriTech, and Food Processing industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, procurement analysis, commodity price tracking, spend analysis, cost comparison, supplier performance analysis, inventory reporting, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, budgeting, purchase analysis, and interactive dashboards to optimize procurement decisions, reduce costs, and improve supply chain efficiency.
ERP Course
The **ERP Course** covers basic to advanced concepts for Procurement and Commodity Analysts in the Agriculture, AgriTech, and Food Processing industry, including ERP navigation, master data management, vendor management, procurement processes, purchase requisitions, purchase orders, inventory management, warehouse operations, material planning, supplier evaluation, contract management, goods receipt, invoice verification, workflow automation, compliance reporting, audit documentation, procurement analytics, KPI monitoring, user roles, approvals, report generation, and system integration to streamline sourcing, improve procurement efficiency, and support effective supply chain management.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Procurement and Commodity Analysts in the Agriculture, AgriTech, and Food Processing industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, procurement analytics, commodity price trend analysis, supplier performance dashboards, inventory reporting, spend analysis, cost optimization, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, compliance reporting, performance monitoring, and business intelligence techniques to transform procurement and commodity data into actionable insights for strategic sourcing and operational decision-making.
SQL Course
The **SQL Course** covers basic to advanced database concepts for Procurement and Commodity Analysts in the Agriculture, AgriTech, and Food Processing industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, procurement data extraction, supplier analysis, inventory reporting, commodity price analysis, spend analytics, data validation, and large dataset management to retrieve, transform, and analyze procurement data for informed sourcing decisions and business optimization.
Key Responsibilities
- Monitor prices of agricultural inputs and raw materials
- Develop sourcing strategies to ensure cost efficiency and supply continuity
- Evaluate supplier contracts, negotiations, and risk exposure
- Track global and local commodity price fluctuations and seasonality
- Collaborate with procurement, supply chain, and finance teams for purchase planning
- Build dashboards and reports for procurement spend and savings analysis
- Identify cost optimization opportunities and supply risks
- Ensure compliance with procurement policies and quality standards
- Collect and analyze commodity market data, supplier performance, and procurement trends
Growth Path
Tools Used
Perfect For
Students and graduates in agriculture, economics, finance, statistics, or data science | Aspiring procurement, sourcing, or commodity trading professionals | Professionals in agriculture, AgriTech, FMCG, or food processing industries | Supply chain and operations analysts looking to move into procurement roles | Individuals interested in commodity markets and procurement analytics | Candidates preparing for roles in procurement, sourcing, or supply chain strategy |
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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