Demand Forecasting Analyst
Profile Code: AL-AGR-01
- ₹7 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Data analysis and demand forecasting techniques | Time series forecasting and statistical modeling | Machine learning for predictive analytics | Supply chain and agricultural market understanding | Seasonality and weather impact analysis | SQL and data handling skills | BI tools like Power BI and Tableau | Data visualization and reporting | Inventory and production planning concepts | Risk analysis and scenario modeling
Overview Video
About This Course
A Demand Forecasting Analyst in the agriculture, agritech, and food processing sector focuses on predicting product demand by analyzing historical data, seasonality, and key market drivers. This course equips learners with the skills to build forecasting models, track forecast accuracy, and generate insights to support production and supply planning decisions. Participants gain hands-on experience with tools like Excel, SQL, and BI for data analysis and reporting. The program emphasizes demand planning, trend analysis, and scenario-based forecasting to handle variability in agricultural markets. Learners will understand how to improve forecast reliability, support inventory and procurement decisions, and align supply with demand. By the end of the course, they are prepared for roles in demand planning and analytics, with career growth into supply chain planning and strategy positions.
Course Content
4 modules · 12 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Demand Forecasting 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, demand forecasting models, inventory analysis, production planning, sales trend analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, seasonal demand analysis, forecasting reports, and interactive dashboards to analyze agricultural and food processing data, improve forecast accuracy, optimize inventory, and support data-driven business decisions.
Forecasting Tools Course
The **Forecasting Tools Course** covers basic to advanced forecasting techniques for Demand Forecasting Analysts in the Agriculture, AgriTech, and Food Processing industry, including demand planning, time series forecasting, moving averages, exponential smoothing, regression analysis, seasonality analysis, trend forecasting, scenario planning, inventory forecasting, production forecasting, sales forecasting, supply planning, forecasting accuracy measurement, statistical modeling, predictive analytics, forecast collaboration, exception management, demand sensing, replenishment planning, risk analysis, and performance monitoring to improve forecast reliability, optimize supply chain operations, reduce waste, and support strategic planning.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Demand Forecasting Analysts in the Agriculture, AgriTech, and Food Processing industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, demand trend analysis, inventory dashboards, production performance reporting, sales analytics, supplier performance monitoring, predictive analytics, drill-through reports, DAX fundamentals, automated reporting, executive dashboards, compliance reporting, forecasting visualization, performance monitoring, and business intelligence techniques to transform agricultural and food processing data into actionable insights for demand planning and operational decision-making.
SQL Course
The **SQL Course** covers basic to advanced database concepts for Demand Forecasting Analysts in the Agriculture, AgriTech, and Food Processing industry, including SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, views, stored procedures, indexing, query optimization, transaction management, demand data extraction, inventory analysis, sales reporting, forecasting data preparation, production analytics, supplier data analysis, performance reporting, data validation, and large dataset management to retrieve, transform, and analyze business data for accurate forecasting and informed decision-making.
Key Responsibilities
- Collect and analyze historical demand, sales, and market data
- Monitor seasonality, weather patterns, and crop cycles impacting demand
- Collaborate with procurement, supply chain, and sales teams to align supply with demand
- Create dashboards and reports for demand trends and accuracy tracking
- Identify risks like supply shortages, spoilage, or demand fluctuations
- Improve forecast accuracy through continuous model tuning and validation
- Support pricing, inventory, and production planning decisions
- Develop statistical and machine learning forecasting models for agricultural produce and food products
Growth Path
Tools Used
Perfect For
Students and graduates in agriculture, statistics, economics, or data science | Aspiring supply chain, demand planning, or forecasting professionals | Professionals in agriculture, food processing, or FMCG industries | Analysts looking to move into predictive analytics or operations roles | Individuals interested in AgriTech and data-driven decision-making | Candidates preparing for roles in supply chain analytics and demand planning |
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Agriculture / AgriTech / Food Processing
Related analyst roles inside the same industry.
