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Product Analyst

Job in 400001, Mumbai, Maharashtra, India
Listing for: More Retail Private Limited
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
At More Retail Private Limited, we’re 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.

We’re 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

- 2–5 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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