Data Analyst

About PINQ Polka

At PINQ Polka, A Shark Tank featured brand we are redefining the intimate hygiene and wellness experience for women across India. Loved by over 3L+ customers and growing rapidly, we are a proudly homegrown D2C brand that believes in making wellness convenient, accessible, and empowering.

Role Summary

Data Analyst

Key Responsibilities

• Perform daily, weekly, and monthly

  payment reconciliations across e-commerce marketplaces (Amazon, Flipkart, etc.) and D2C platforms (Shopify, etc.)

• Analyze consumer behavior, buying patterns, and product performance across platforms (Shopify, Amazon, etc.)
• Create and maintain dashboards to track business KPIs (CAC, LTV, conversion rates, repeat rates, etc.)
• Dive into customer feedback, reviews, and CRM data to extract actionable insights
• Collaborate with leadership to shape strategy through weekly and monthly MIS
• Identify discrepancies in payment settlements and coordinate with finance/operations for resolution
• Develop and maintain automated dashboards on

  Power BI

  and/or

  Google Data Studio

• Analyze consumer behavior, sales performance, inventory turnover, and campaign ROIs
• Generate actionable insights to support marketing, category, and product teams
• Create comprehensive data reports and KPIs tracking for stakeholders
• Assist in forecasting, budgeting, and business performance models
• Collaborate closely with Tech, Marketing, Operations, and Finance teams to ensure data accuracy and efficiency

Requirements

• Bachelor’s degree in Statistics, Economics, Computer Science, Finance, or related field

• 2–4 years of experience in data analytics

  , preferably with an

  e-commerce/D2C brand

• Strong

  experience in payment reconciliation across marketplaces

• Advanced skills in

  Excel (Pivot Tables, VLOOKUP, macros)

  and

  Power BI

• Familiarity with Google Analytics, Meta Insights, and e-commerce backend dashboards (Shopify, Unicommerce, etc.)
• Solid understanding of data architecture and automation tools (basic SQL knowledge a plus)
• Ability to manage large datasets and present data in a clear and concise manner
• Excellent analytical thinking, problem-solving, and communication skills