Ecommerce Analyst

About PINQ Polka

At PINQ Polka, we are building a modern, purpose-driven women’s wellness brand rooted in comfort, care, and conversation. With a growing community of 3L+ customers and a strong D2C + marketplace presence, we are on a mission to bring smart, safe, and stylish hygiene solutions to every woman’s shelf.

Role Overview

E-commerce Analyst

Key Responsibilities

• Analyze

  sales performance, traffic, conversion rates

  , and AOV across Shopify and marketplaces (Amazon, Flipkart, etc.)
• Monitor SKU-level data: sell-through, RTO, returns, pricing, margins, and promotion impact
• Provide weekly and monthly reports with actionable insights for marketing, inventory, and category teams
• Work with digital marketing to evaluate ROAS, CAC, and campaign performance (Meta, Google, etc.)
• Working on reconciliation reports (Primary and secondary) along with payment reconciliations
• Identify gaps in product performance, pricing strategies, inventory movement, and suggest corrective action
• Track and compare performance between

  D2C vs marketplaces

• Support payment and settlement reconciliation from platforms like Unicommerce or seller portals
• Build dashboards using Excel, Google Sheets, or tools like Power BI/Tableau
• Collaborate with ops, marketing, tech, and finance for cross-functional data needs

Requirements

• 2–4 years of experience in

  e-commerce analytics

  , preferably with a D2C or consumer goods brand
• Strong skills in

  Excel (VLOOKUP, Pivot Tables, etc.)

  , and familiarity with BI tools (Power BI, Tableau, Data Studio)
• Experience with Shopify, Amazon Seller Central, Flipkart Dashboard, and Unicommerce
• Data-driven mindset with strong business acumen
• Good understanding of metrics like GMV, RTO, CAC, LTV, ROAS, and inventory efficiency
• Ability to communicate insights clearly and translate them into business actions
  

Bonus Points For

• Experience in

  women’s wellness, hygiene, or beauty/personal care categories

• Basic SQL knowledge or experience with Google Analytics 4 (GA4)
• Familiarity with marketing attribution tools and customer journey funnels