Trade Promotion Analyst
Profile Code: AL-RET-05
- ₹7 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Trade Promotion Management | Promotion ROI Analysis | Sales Uplift & Revenue Analytics | Retail & Omnichannel Analytics | Pricing & Discount Strategy | Customer and Shopper Insights | Excel, SQL & Data Visualization | Commercial Planning & Decision-Making
Overview Video
About This Course
A Trade Promotion Analyst in the retail (offline and omni-channel) industry focuses on evaluating and optimizing promotional activities to drive sales and profitability. This course equips learners with the skills to analyze promotion performance, track KPIs such as uplift, ROI, discount effectiveness, and sales impact, and generate insights for better campaign planning. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for analysis and reporting. The program emphasizes promotion analysis, pricing and discount strategy, and data-driven decision-making in competitive retail environments. Learners will understand how to measure campaign effectiveness, optimize trade spend, and improve category performance across channels. By the end of the course, they are prepared for roles in trade promotion and retail analytics, with career progression into category management, commercial strategy, and marketing leadership positions.
Course Content
3 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Trade Promotion Analysts in the Retail (Offline and Omni-channel) industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, trade promotion analysis, sales performance tracking, discount analysis, pricing evaluation, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, promotional ROI analysis, retailer performance monitoring, variance analysis, and interactive dashboards to optimize promotional campaigns, improve sales effectiveness, and support data-driven retail decision-making.
SQL Course
The **SQL Course** covers basic to advanced concepts for Trade Promotion Analysts in the Retail (Offline and Omni-channel) 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, promotion data extraction, sales reporting, retailer performance analysis, campaign effectiveness reporting, customer purchase analytics, data validation, and large dataset management to retrieve, transform, and analyze retail promotion data for strategic business decisions.
BI Tools Course
The **BI Tools Course** covers basic to advanced business intelligence concepts for Trade Promotion Analysts in the Retail (Offline and Omni-channel) industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, trade promotion dashboards, campaign performance reporting, sales analytics, retailer performance monitoring, customer behavior analysis, predictive analytics, DAX or calculated fields, drill-through reports, automated reporting, executive dashboards, forecasting visualization, profitability analysis, data storytelling, and business intelligence techniques to transform retail promotion data into actionable insights for optimizing campaigns, increasing revenue, and supporting strategic decision-making.
Key Responsibilities
- Analyze the effectiveness of trade promotions and in-store campaigns across offline and omnichannel retail channels
- Monitor promotional spend, sales uplift, and ROI to optimize trade investments
- Develop reports and dashboards on promotion performance and customer response
- Evaluate pricing, discount, and merchandising strategies to improve revenue and market share
- Collaborate with sales, marketing, and category teams to plan and execute data-driven trade promotions
Growth Path
Tools Used
Perfect For
Business and Commerce Graduates | Retail & FMCG Professionals | Sales and Marketing Aspirants | Category and Merchandising Professionals | Data Analytics Enthusiasts | Individuals Interested in Trade Marketing and Commercial Analytics
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Retail (offline + omni)
Related analyst roles inside the same industry.
