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Product Analyst

More Retail Private Limited

0 - 3 years

Mumbai

Posted: 26/02/2026

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Job Description

At More Retail Private Limited, were redefining how India shops for groceries blending strong offline retail presence with fast-growing digital commerce. With a customer-first mindset and a data-driven culture, we are building smarter, more seamless shopping experiences every day.

Were looking for a Product Analyst who is passionate about solving real customer problems through insights, experimentation, and measurable impact.


About the Role

We are looking for a Product Analyst who will handle user/product issues using a data-driven approach. This role works closely with Business, Product, and Engineering teams and is not a ticket-closing support role.


Responsibilities

  • Investigate production/user issues using SQL and system data
  • Identify root causes (bug, data issue, or process gap)
  • Work with engineers to reproduce and resolve problems
  • Write Python scripts for data fixes and automation
  • Analyse logs/APIs and trace user journeys across systems
  • Identify recurring issues and recommend product improvements
  • Perform ad-hoc analysis for business/product problem statements
  • Create basic documentation and runbooks


Requirements

  • 25 years in Product Analyst/ Application Support / Product Support
  • Strong SQL (joins, aggregations, window functions)
  • Working knowledge of Python (scripting/pandas)
  • Analytical mindset and debugging ability
  • Familiarity with APIs, JIRA/Postman, and basic Linux
  • Retail/e-commerce/supply chain exposure is a plus


You'll Thrive Here If You:

  • Believe internal efficiency is a competitive advantage
  • Think every operational bottleneck is a product opportunity waiting to be discovered
  • Love translating between "business speak" and "tech speak"
  • Get excited about both helping teams solve immediate problems AND preventing future ones
  • Prefer making decisions based on data while staying grounded in business reality
  • Find satisfaction in seeing internal teams work faster because of your insights
  • Think "this could be automated" when you see manual processes
  • Measure success by both adoption rates AND business impact

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