Pricing/Promotion Analyst
Profile Code: AL-RET-02
- ₹6.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Pricing Strategy & Optimization | Promotion Analytics & ROI Measurement | Retail & Omnichannel Analytics | Customer Behavior Analysis | Competitive Pricing Intelligence | Sales Forecasting & Revenue Management | Excel, SQL & Data Visualization | Data-Driven Decision Making
Overview Video
About This Course
A Pricing/Promotion Analyst in the retail (offline and omni-channel) industry focuses on optimizing pricing strategies and promotional activities to drive sales, margins, and customer engagement. This course equips learners with the skills to analyze price elasticity, track promotion performance, and evaluate KPIs such as sales uplift, conversion rates, and discount effectiveness. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for pricing and promotion analysis. The program emphasizes dynamic pricing, promotion optimization, and data-driven decision-making in competitive retail environments. Learners will understand how to balance profitability with customer demand, design effective discount strategies, and improve campaign ROI across channels. By the end of the course, they are prepared for roles in pricing and retail analytics, with career progression into commercial strategy, category management, and merchandising leadership positions.
Course Content
4 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Pricing and 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, pricing analysis, promotion effectiveness, sales trend analysis, margin calculations, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, discount analysis, inventory reporting, data visualization, and interactive dashboards to optimize pricing strategies, improve promotional performance, increase profitability, and support data-driven retail decision-making.
SQL Course
The **SQL Course** covers basic to advanced concepts for Pricing and 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, sales data extraction, pricing analytics, promotion performance reporting, customer purchase analysis, inventory analytics, data validation, and large dataset management to retrieve, transform, and analyze retail data for strategic pricing and promotional decision-making.
BI Tools Course
The **BI Tools Course** covers basic to advanced business intelligence concepts for Pricing and Promotion Analysts in the Retail (Offline and Omni-channel) industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, pricing dashboards, promotion effectiveness reports, sales performance analytics, customer behavior analysis, predictive analytics, DAX or calculated fields, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, profitability analysis, data storytelling, and business intelligence techniques to transform retail data into actionable insights for pricing optimization, promotional planning, and business growth.
Retail Systems Course
The **Retail Systems Course** covers basic to advanced concepts for Pricing and Promotion Analysts in the Retail (Offline and Omni-channel) industry, including POS systems, merchandising systems, inventory management, pricing management, promotion setup, product catalog management, order processing, omnichannel operations, barcode and SKU management, customer loyalty integration, replenishment planning, stock movement tracking, workflow automation, report generation, dashboard creation, ERP integration, demand planning, sales monitoring, performance analytics, and retail operations management to improve pricing accuracy, promotional execution, inventory efficiency, and overall retail business performance.
Key Responsibilities
- Analyze pricing trends and customer purchasing behavior across offline and omnichannel retail channels
- Design and evaluate promotional campaigns to maximize sales and profitability
- Monitor competitor pricing and recommend pricing strategies
- Track promotion performance and measure ROI using sales and customer data
- Collaborate with merchandising, marketing, and category teams to optimize pricing and promotional effectiveness
Growth Path
Tools Used
Perfect For
Business and Commerce Graduates | Retail & E-commerce Professionals | Marketing and Category Management Aspirants | Data Analytics Enthusiasts | Sales & Revenue Management Professionals | Individuals Interested in Retail Strategy and Consumer Insights
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Retail (offline + omni)
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