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Ecommerce Analytics Manager

Job in 261201, Ahmedabad, Uttar Pradesh, India
Listing for: Beardo
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Analyst, Ecommerce, Business Systems/ Tech Analyst, Data Science Manager
Job Description & How to Apply Below
Manager – E-Commerce Analytics (Marketplaces & Q-Commerce)

Location:

Ahmedabad |  Reporting To:  Head – E-Commerce

Role Mandate
Own the  analytics charter for marketplaces and quick commerce , driving  revenue growth, profitability, and competitive advantage  through deep data, structured insights, and scalable analytics frameworks.

What You’ll Own

1. Core Business Intelligence
Build a  single source of truth  for all marketplace & q-commerce metrics
Track GMV, CVR, AOV, ROAS, Contribution Margin, Inventory health
Deliver sharp, actionable insights to influence daily business decisions

2. Data Pipeline & Analytics Framework
Design and scale an  end-to-end data pipeline  (platform data, ads data, inventory, pricing)
Automate dashboards across Power BI / Tableau / Looker
Standardize definitions, metrics, and reporting cadence
Enable  real-time / near real-time decision-making

3. Marketplace & Q-Commerce Performance
Deep-dive performance across Amazon, Flipkart, Nykaa, Blinkit, Zepto, Instamart
Identify  growth levers at SKU, category, and platform level
Track visibility metrics: search rank, share of shelf, CTR, conversion

4. Category Landscape & White Space Identification
Analyze  category trends, demand gaps, and competition benchmarks
Map assortments vs competitors to identify  white spaces
Recommend expansion opportunities (new SKUs, bundles, pack sizes, pricing tiers)

5. Pricing & Promotion Analytics
Drive  pricing strategy using elasticity models
Evaluate impact of discounting on volume, revenue, and margin
Optimize platform-wise pricing & promo strategies
Support decisioning on sale events, deals, and visibility investments

6. Ads & Growth Analytics
Own performance tracking of Amazon Ads, Flipkart Ads, etc.
Improve ROAS through bid, keyword, and spend optimization insights
Link ad spends to  incrementality and contribution margins

7. Inventory & Supply Analytics
Optimize  stock allocation across platforms
Track sell-through, stock cover, and availability
Prevent lost sales due to stockouts and inefficiencies

What Success Looks Like
Clear visibility into  growth drivers and leakages
Measurable improvement in  ROAS, CVR, and contribution margins
Strong pipeline enabling  faster, data-led decisions
Identification of  new revenue pools through white spaces
Scalable analytics foundation supporting business growth

Ideal Profile
4–8 years in  e-commerce / marketplace analytics / growth analytics
Strong SQL, Excel + BI tools expertise
Hands-on experience with Amazon / Flipkart / Quick Com ecosystems
Solid understanding of  pricing, promotions, and marketplace dynamics
Ability to convert data into clear business actions
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