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Category Analyst

Profile Code: AL-ECM-01

  • 8 LPA (Median Salary)
  • Lecture Duration 2hrs
  • Course Duration 10 Weeks

Skills You Learn: Category Management | E-commerce Analytics | Sales & Revenue Analysis | Pricing Analytics | Market Research | Customer Analytics | Advanced Excel | SQL | Power BI & Dashboards | Data Visualization | Inventory Planning | Strategic Decision-Making

₹36,230₹45,287
20% Early Bird Discount
Enroll Now Course Content

Overview Video

Category Analyst

About This Course

A Category Analyst in the internet and e-commerce industry focuses on managing and optimizing product categories to drive sales, profitability, and customer experience. This course equips learners with the skills to analyze category performance, track KPIs such as sales, margins, assortment mix, and conversion rates, and identify growth opportunities. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for data analysis and reporting. The program emphasizes assortment planning, pricing and promotion analysis, and data-driven merchandising strategies. Learners will understand how to optimize product mix, improve category visibility, and enhance customer engagement. By the end of the course, they are prepared for roles in category and merchandising analytics, with career progression into category management, business strategy, and e-commerce leadership positions.

Course Content

4 modules · 10 weeks · 2hrs/day
1

Jira Course

The **Jira Course** covers basic to advanced concepts for Category Analysts in the Internet and E-commerce industry, including Jira navigation, project setup, issue creation, workflow management, Scrum and Kanban boards, sprint planning, backlog management, task assignment, JQL (Jira Query Language), dashboards, filters, automation rules, custom fields, reporting, SLA tracking, collaboration, category planning, product launch tracking, process monitoring, integrations, and agile project management techniques to improve category operations, streamline cross-functional collaboration, monitor project progress, and support efficient business execution.

2

Excel Course

The **Excel Course** covers basic to advanced concepts for Category Analysts in the Internet and E-commerce 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 reporting, inventory analysis, pricing analysis, profitability tracking, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, demand forecasting, and interactive dashboards to evaluate category performance, optimize merchandising decisions, and support data-driven business growth.

3

SQL (Basic) Course

The **SQL (Basic) Course** covers basic concepts for Category Analysts in the Internet and E-commerce industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), CASE statements, views, indexing basics, query optimization fundamentals, transaction concepts, sales data extraction, product analytics, category performance reporting, customer behavior analysis, inventory reporting, data validation, and large dataset management to retrieve, transform, and analyze e-commerce data for category optimization and informed business decisions.

4

Confluence Course

The **Confluence Course** covers basic to advanced concepts for Category Analysts in the Internet and E-commerce industry, including workspace creation, page management, document collaboration, knowledge management, templates, meeting notes, requirement documentation, process documentation, project spaces, version control, comments, permissions management, workflow documentation, report publishing, integration with Jira, dashboard creation, team collaboration, content organization, search optimization, and documentation best practices to improve communication, maintain centralized business knowledge, and support efficient category management and cross-functional collaboration.

Key Responsibilities

  • Analyze category performance and sales trends
  • Monitor product assortment and pricing strategies
  • Conduct customer and market analysis
  • Track category KPIs and profitability metrics
  • Develop dashboards and performance reports
  • Identify growth opportunities and demand patterns
  • Evaluate competitor activities and market share
  • Support merchandising and inventory decisions
  • Optimize promotions and category strategies
  • Provide data-driven recommendations to improve category performance and customer experience.

Growth Path

Category AnalystSenior Category AnalystCategory ManagerSenior Category ManagerHead of Category ManagementDirector of Category & MerchandisingChief Commercial Officer (CCO)

Tools Used

JiraExcelSQL (basic)Confluence

Perfect For

E-commerce Professionals | Category Managers | Business Analysts | Merchandising Executives | Marketing Professionals | Data Analysts | MBA Graduates | Retail Professionals | Product Analysts | Early-Career Internet and E-commerce Aspirants

Fee Structure

Fee DetailsAmount
Programme Fee₹45,287
★ Full Payment Gets 20% Early Bird Discount · save ₹9,057
Total Fee (After Discount)₹36,230

Mentor

AL

Analytics Learners

Professional Analyst & Mentor

4.8(898 reviews)