Pricing Analyst
Profile Code: AL-AGR-02
- ₹8 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Pricing strategy and revenue optimization | Data analysis and statistical modeling | Demand and price elasticity analysis | Agricultural and commodity market understanding | Cost and margin analysis | SQL and data handling skills | BI tools like Power BI and Tableau | Competitive pricing analysis | Dynamic pricing techniques | Data visualization and reporting | Forecasting and scenario modeling
Overview Video
About This Course
A Pricing Analyst in the agriculture, agritech, and food processing industry focuses on optimizing product pricing by analyzing costs, market trends, demand patterns, and competitive benchmarks. This course equips learners with the skills to evaluate pricing strategies, monitor price movements, and assess the impact of pricing decisions on revenue and margins. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for pricing analysis and reporting. The program emphasizes price optimization, margin analysis, and data-driven decision-making in dynamic agri markets. Learners will understand how to balance profitability with market competitiveness, manage price volatility, and support strategic pricing decisions. By the end of the course, they are prepared for roles in pricing and revenue analytics, with career progression into commercial strategy and pricing leadership positions.
Course Content
3 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Pricing 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, pricing models, cost analysis, profit margin calculations, sales analysis, variance analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, budgeting, inventory analysis, pricing reports, and interactive dashboards to optimize pricing strategies, improve profitability, and support data-driven business decisions.
SQL Course
The **SQL Course** covers basic to advanced database concepts for Pricing 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, pricing data extraction, sales reporting, customer analytics, inventory analysis, profitability reporting, data validation, and large dataset management to retrieve, transform, and analyze business data for pricing optimization and strategic decision-making.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Pricing Analysts in the Agriculture, AgriTech, and Food Processing industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, pricing analysis, profitability dashboards, sales performance reporting, market trend analysis, customer segmentation, margin analysis, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, compliance reporting, forecasting visualization, performance monitoring, and business intelligence techniques to transform pricing and sales data into actionable insights for revenue optimization and informed business decisions.
Key Responsibilities
- Collect and analyze market, competitor, and historical pricing data
- Develop pricing models based on demand elasticity, cost structures, and seasonality
- Monitor agricultural commodity prices, input costs, and supply chain fluctuations
- Support dynamic pricing strategies for fresh produce and processed food products
- Conduct profitability and margin analysis across products and regions
- Create pricing dashboards and reports using BI tools
- Evaluate impact of pricing changes on demand, revenue, and market share
- Ensure pricing aligns with market trends, regulations, and business objectives
- Collaborate with sales, supply chain, and procurement teams to optimize pricing decisions
Growth Path
Tools Used
Perfect For
Students and graduates in agriculture, economics, statistics, finance, or data science | Aspiring pricing, revenue, or commercial analysts | Professionals in agriculture, AgriTech, FMCG, or food processing industries | Supply chain and demand planning professionals transitioning into pricing roles | Individuals interested in market analytics and revenue optimization | Candidates preparing for roles in pricing, revenue management, or business analytics |
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Agriculture / AgriTech / Food Processing
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