Data Analyst - E-commerce

Role Overview

We are seeking a Data Analyst with 2 to 5 years of experience (flexible for strong candidates) to support data-driven decision making across our e-commerce operations. This role collaborates closely with teams across sales, marketing, supply chain, and category management to analyze performance metrics, uncover growth prospects, and enhance operational efficiency.

Key Responsibilities

• Evaluate sales figures, website traffic, conversion rates, pricing strategies, and profitability on both marketplaces and direct-to-consumer platforms.
• Monitor critical KPIs including GMV, ROAS, CAC, AOV, conversion rate, inventory turnover, and fill rates.
• Detect market trends, irregularities, and potential areas for growth through thorough data analysis.
• Assess the effectiveness of paid advertising campaigns across channels such as Amazon Ads, Meta, and Google.
• Attribute revenue to different sales channels and marketing campaigns accurately.
• Develop and maintain dashboards illustrating campaign return on investment, keyword effectiveness, and funnel metrics.
• Oversee marketplace operations by monitoring catalog health, buy box percentages, stock levels, returns, and cancellations.
• Analyze performance data at vendor, ASIN, and SKU levels.
• Support demand forecasting efforts and assist with inventory planning.
• Create and automate regular dashboards and management information system (MIS) reports for leadership consumption.
• Transform complex datasets into actionable business insights rather than mere numbers.
• Manage large volumes of data obtained from marketplaces, internal databases, and web-scraped sources ensuring accuracy, consistency, and proper documentation.

Technical and Domain Expertise

• Proficiency in Microsoft Excel and Google Sheets, including advanced use of pivot tables and Power Query.
• Experience with e-commerce or marketplace analytics.
• Knowledge of platforms like Amazon Seller/Vendor Central, Myntra, or direct-to-consumer analytics is a significant advantage.
• Familiarity with marketing metrics and attribution methodologies.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Ability to clearly communicate analytical findings to teams without technical backgrounds.
• Demonstrates ownership and meticulous attention to detail throughout projects.