Merchandising/Category Analyst
Profile Code: AL-PHR-04
- ₹10 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Category Management & Merchandising Analytics | Pharmaceutical Product Portfolio Analysis | Sales & Demand Forecasting | Pricing & Profitability Analysis | Inventory Optimization | Market Trend Analysis | Excel, SQL & Data Visualization | Strategic Planning & Stakeholder Management
Overview Video
About This Course
A Merchandising/Category Analyst in the pharma, biotech, and CRO industry focuses on optimizing product categories, inventory, and distribution to ensure availability and commercial performance. This course equips learners with the skills to analyze category performance, track KPIs such as sales, stock levels, and product mix, and identify opportunities for growth and efficiency. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for data analysis and reporting. The program emphasizes category management, inventory optimization, and data-driven decision-making in regulated healthcare environments. Learners will understand how to manage product portfolios, improve availability, and support commercial strategies. By the end of the course, they are prepared for roles in category and commercial analytics, with career progression into category management, supply chain strategy, and business leadership positions.
Course Content
4 modules · 10 weeks · 2hrs/daySAS Course
The **SAS Course** covers basic to advanced concepts for Merchandising and Category Analysts in the Pharma, Biotech, and CRO industry, including SAS programming fundamentals, data import, data cleansing, data transformation, PROC SQL, statistical analysis, descriptive statistics, regression analysis, predictive modeling, data visualization, reporting automation, market basket analysis, category performance analysis, demand forecasting, inventory analytics, customer segmentation, model validation, report generation, workflow automation, and advanced analytics techniques to optimize category performance, improve merchandising strategies, and support data-driven business decision-making.
R Course
The **R Course** covers basic to advanced concepts for Merchandising and Category Analysts in the Pharma, Biotech, and CRO industry, including R programming fundamentals, data manipulation with dplyr, data visualization with ggplot2, statistical analysis, hypothesis testing, regression analysis, clustering, time-series forecasting, predictive modeling, machine learning fundamentals, report generation using R Markdown, data preprocessing, customer behavior analysis, inventory optimization, category performance analysis, model validation, automation, and advanced analytics techniques to generate actionable insights for merchandising, category management, and strategic business planning.
Excel Course
The **Excel Course** covers basic to advanced concepts for Merchandising and Category Analysts in the Pharma, Biotech, and CRO industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, category performance analysis, sales trend analysis, inventory planning, pricing analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, demand forecasting, data visualization, and interactive dashboards to optimize merchandising performance and support informed business decisions.
Python Course
The **Python Course** covers basic to advanced concepts for Merchandising and Category Analysts in the Pharma, Biotech, and CRO industry, including Python fundamentals, variables, data types, control statements, functions, object-oriented programming, NumPy, Pandas, Matplotlib, Seaborn, data preprocessing, statistical analysis, predictive modeling, machine learning fundamentals, automation scripting, API integration, inventory analytics, demand forecasting, customer segmentation, reporting automation, data visualization, and performance optimization to analyze merchandising and category data, improve forecasting accuracy, and support intelligent business decision-making.
Key Responsibilities
- Analyze product category performance and sales trends across pharmaceutical portfolios
- Monitor inventory, pricing, and demand metrics to optimize product assortment
- Develop category insights and merchandising strategies to improve product availability and profitability
- Prepare dashboards and reports on category performance and market trends
- Collaborate with sales, marketing, and supply chain teams to support portfolio growth and strategic decisions
Growth Path
Tools Used
Perfect For
Pharmacy Graduates | Life Sciences and Biotechnology Professionals | Commercial & Marketing Analytics Aspirants | Supply Chain and Operations Professionals | Data Analytics Enthusiasts | Individuals Interested in Product Portfolio and Category Management
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Pharma / Biotech / CRO
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