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Revenue Analyst

Articore Group · Retail & E-commerce

  • Gurugram, Haryana, India
  • On-site
  • Posted today
  • Finance & Accounting
  • Full-time

About the job

Join our growing Merchandising team as a Category Manager Analyst and play a key role in driving revenue strategy. We’re seeking an independent, data-driven team player to partner with our Category Managers on product performance analysis and assortment strategies. In this role, your insights will actively shape our long-term roadmap and directly impact the business’s bottom line.

Data Analysis & Reporting
Monitor category performance metrics, sales trends, and KPIs; provide regular reporting to merchandising team
Conduct in-depth analysis of category data to identify growth drivers, gaps, and optimization opportunities
Build and maintain dashboards and reporting tools to track category health across channels
Product & Assortment Management
Recommend product assortment mix, pricing strategies, and SKU rationalization
Evaluate new product opportunities and manage product lifecycle from launch to phase-out
Collaborate with product teams on packaging, positioning, and market fit
Category Strategy & Planning
Support the development and execution of category strategies that drive revenue growth and market share expansion
Analyze market trends, competitive landscape, and consumer insights to identify category opportunities
Support the creation of annual category plans including sales forecasts, and performance targets

Requirements

2+ years of experience in financial analysis or data analytics (eCommerce or apparel experience is a strong plus).
Bachelor’s degree in Business, Finance, Statistics, Economics, Engineering, or a related quantitative field.
Required Technical Skills:
Proficiency in SQL for data extraction, querying, and manipulation.
Advanced skills in Google Sheets / MS Excel (XLOOKUP, INDEX/MATCH, pivot tables, complex formulas, and data modeling).
Technical Plus:
Hands-on experience with Google BigQuery or cloud data warehouses.
Professional Competencies:
Exceptional attention to detail with a structured, data-driven approach to problem-solving.
Strong written and verbal English communication skills for collaborating with global cross-functional stakeholders.