Ecommerce Data Analyst

AerActive is a premium Indian activewear brand built at the intersection of performance, design, and ambition. We are building a data-driven D2C business where every decisionfrom product drops to pricing and inventoryis backed by insight.

Were looking for an Ecommerce Data Analyst who can turn data into clarity and help us scale smarter.

You will be responsible for analysing internal e-commerce data and external market data to support decision-making across product, growth, merchandising, and operations. This role sits at the heart of the business and works closely with founders, marketing, and supply chain teams.

Internal Data & Reporting

• Analyse Shopify data across sales, traffic, conversion, AOV, and product performance
• Build and maintain weekly and monthly performance dashboards
• Track SKU-level metrics such as sell-through, repeat purchase, and size-wise performance
• Identify patterns, anomalies, and growth opportunities in customer and product data

Product & Demand Analysis

• Analyse product-level data to forecast demand and support inventory planning
• Track new product launches and post-launch performance
• Support assortment planning and replenishment decisions

Marketplace & Competitive Analysis

• Track pricing, discounts, assortment, and best-selling products across marketplaces and competitor websites
• Benchmark AerActives performance vs competitors
• Identify whitespace opportunities across categories, fits, and price points

Insights & Decision Support

• Translate data into actionable insights for marketing, product, and leadership teams
• Answer ad-hoc business questions using data
• Support campaign performance analysis (drops, sales, launches)

• 13 years experience in ecommerce, D2C, retail, or apparel analytics
• Strong proficiency in Excel / Google Sheets
• Hands-on experience with Shopify analytics or ecommerce platforms
• Comfort working with large datasets and drawing insights independently
• Strong analytical thinking and attention to detail
• Clear communication skillsable to explain numbers in simple terms

• Experience in apparel, fashion, or consumer brands
• Familiarity with marketplaces (Amazon, Myntra, Flipkart, etc.)
• Basic knowledge of SQL, Looker, Power BI, or Google Data Studio
• Understanding of demand planning or merchandising metrics