Supply Chain Analyst
Profile Code: AL-AGR-04
- ₹7 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Supply chain analytics and optimization | Data analysis and statistical modeling | Inventory and demand-supply planning | Logistics and operations management | SQL and data handling skills | BI tools like Power BI and Tableau | KPI tracking and performance measurement | Process improvement and bottleneck analysis | Forecasting and scenario planning | Agricultural and perishable goods supply chain understanding | Data visualization and reporting
Overview Video
About This Course
A Supply Chain Analyst in the agriculture industry focuses on optimizing procurement, inventory, and distribution across agri and food value chains. This course equips learners with the skills to analyze supply chain data, track KPIs, and improve efficiency from sourcing to delivery. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards to monitor performance and identify cost-saving opportunities. The program emphasizes demand forecasting, inventory optimization, and logistics analysis tailored to agricultural operations. Learners will understand how to balance cost, quality, and service levels while managing seasonal and demand variability. By the end of the course, they are prepared for roles in agri supply chain analytics, with growth into operations and supply chain strategy positions.
Course Content
4 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Supply Chain 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, inventory analysis, demand planning, logistics tracking, procurement analysis, warehouse reporting, production planning, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, cost analysis, supply chain performance monitoring, and interactive dashboards to optimize operations, improve efficiency, and support data-driven supply chain decisions.
SQL Course
The **SQL Course** covers basic to advanced database concepts for Supply Chain 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, inventory data extraction, procurement reporting, logistics analysis, warehouse analytics, supplier performance reporting, production data analysis, data validation, and large dataset management to retrieve, transform, and analyze supply chain data for informed operational decision-making.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Supply Chain Analysts in the Agriculture, AgriTech, and Food Processing industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, inventory dashboards, logistics performance reporting, procurement analytics, warehouse monitoring, supplier performance analysis, demand planning dashboards, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, compliance reporting, performance monitoring, and business intelligence techniques to transform supply chain data into actionable insights for operational excellence and strategic planning.
ERP Course
The **ERP Course** covers basic to advanced concepts for Supply Chain Analysts in the Agriculture, AgriTech, and Food Processing industry, including ERP navigation, master data management, procurement, inventory management, warehouse operations, production planning, material requirements planning (MRP), demand planning, order management, supplier management, logistics coordination, quality management, workflow automation, compliance reporting, audit documentation, KPI monitoring, report generation, user roles, approvals, and system integration to streamline supply chain processes, improve operational visibility, optimize resource utilization, and support efficient business decision-making.
Key Responsibilities
- Monitor end-to-end supply chain performance including lead times, costs, and service levels
- Identify bottlenecks, inefficiencies, and risks in logistics and operations
- Develop demand-supply alignment strategies for agricultural and food products
- Build dashboards and reports to track KPIs like inventory turnover and fill rates
- Collaborate with procurement, logistics, production, and sales teams
- Support forecasting, planning, and optimization of supply chain processes
- Analyze seasonal, perishable, and commodity-driven supply chain challenges
- Recommend improvements for cost reduction and operational efficiency
- Collect and analyze supply chain data across procurement, production, inventory, and distribution
Growth Path
Tools Used
Perfect For
Students and graduates in agriculture, economics, statistics, engineering, or data science | Aspiring supply chain, logistics, or operations analytics professionals | Professionals in agriculture, AgriTech, FMCG, or food processing industries | Analysts looking to transition into supply chain planning and optimization roles | Individuals interested in logistics, procurement, and operations strategy | Candidates preparing for roles in supply chain analytics and operations management
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Agriculture / AgriTech / Food Processing
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