---
title: 'Staff Data Analyst at Coupang'
canonical: 'https://feeny.ai/job/staff-data-analyst-coupang-bengaluru-v10aefc9865f'
type: 'job'
last_seen: '2026-11-06'
---

# Staff Data Analyst at Coupang

- **Company:** Coupang
- **Location:** Bengaluru, India
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-06
- **Apply:** https://www.coupang.jobs/en/jobs/?gh_jid=7975755

## Job description

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

## Role Overview

As a Staff Data Analyst within the Fresh SCM Automation team, you will drive strategic decision-making by solving complex supply chain and inventory optimization challenges through advanced analytics. The team is responsible for building scalable analytical frameworks, products, and data science capabilities that improve product availability while optimizing inventory and operational costs. You will work closely with Product, Supply Chain, Forecasting, and Engineering teams to influence key business decisions and develop data-driven solutions that support Coupang's rapidly growing Fresh business.

## About the Team

The Fresh SCM Automation team develops products and analytical capabilities focused on forecasting, capacity orchestration, inventory placement, auto-replenishment, master data management, and vendor supply design. The team solves complex operations research and optimization problems to maximize in-stock rates while balancing costs such as inventory holding, waste, and scrap.

## What You Will Do

- Lead end-to-end analysis of complex supply chain and inventory management problems.
- Develop analytical frameworks and decision models to improve forecasting accuracy, replenishment efficiency, and inventory optimization.
- Partner with Product, Engineering, Supply Chain, and Business stakeholders to identify improvement opportunities and define success metrics.
- Build scalable dashboards, KPIs, and automated reporting solutions to support business visibility and decision-making.
- Design and execute simulations and scenario analyses to evaluate operational strategies and business trade-offs.
- Utilize SQL, Python, R, and visualization tools to extract, analyze, and structure large datasets.
- Drive root-cause analysis and generate actionable recommendations for senior leadership.
- Mentor analysts and contribute to elevating analytical standards across the organization.

## Basic Qualifications

- Problem Solver at Heart: Passionately approaches complex or undefined problems with curiosity, analytical thinking, and a drive to find novel solutions.
- End-to-End Ownership: Proven track record of independently taking projects from initial concept through execution and delivery with minimal supervision.
- Domain & Field Experience: 8+ years of experience leveraging data to drive strategic decisions in Data Analytics, Business Analytics, Supply Chain Analytics, or a related field.
- Education: Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
- Advanced SQL & Data Wrangling: Deep expertise in SQL with extensive experience querying, manipulating, and extracting insights from large-scale enterprise datasets.
- Statistical Programming: Proficiency in Python and/or R for data manipulation, exploratory analysis, and statistical modeling.
- Executive Visualization & Reporting: Mastery of business intelligence and visualization tools (e.g., Tableau, Power BI) to translate complex data into clear, intuitive dashboards and executive-ready reporting.
- Stakeholder Influence & Communication: Outstanding ability to translate technical findings into actionable business insights and influence senior stakeholders across functions, backed by professional business-level English communication skills.

## Preferred Qualifications

- Domain Expertise: Specialized background in eCommerce, Retail, Supply Chain, Inventory Management, Logistics, or Operations Research.
- Advanced Modeling & Optimization: Hands-on experience developing optimization models, forecasting frameworks, or simulation-based analyses to solve operational bottlenecks.
- Machine Learning & Experimentation: Familiarity with predictive analytics, machine learning algorithms, and experimentation methodologies (A/B testing, causal inference).
- Leadership & Mentorship: Demonstrated ability to lead large-scale analytical initiatives and mentor junior and mid-level analysts.
- Global Collaboration: Proven success working collaboratively with cross-functional, globally distributed teams.
- Advanced Degree: Master's degree or PhD in a quantitative or engineering discipline.

Type of work model

- Hybrid

Details to consider

- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/

## About Coupang

## Company Overview
- **One-liner**: Coupang is a global technology and Fortune 150 company that reimagines commerce by integrating e-commerce, logistics, last-mile delivery, restaurant delivery, video streaming, and fintech services to wow customers.
- **Entity Type**: Public (NYSE: CPNG)
- **Headquarters**: Seattle, Washington, USA (global HQ); operates major hubs in Seoul, South Korea, and other locations.
- **Founded**: 2010
- **Founders**: Bom Kim (Bong-Seok Kim)

## Core Business
- **Primary industry/industries**: E-commerce, Logistics & Fulfillment, Retail, Food Delivery, Fintech, Content Streaming, AI-driven Commerce.
- **Target customers**: B2C (primarily consumers in South Korea, with growing global operations including Taiwan, Singapore, and the U.S.).
- **Mission or purpose statement**: "We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, 'How did I ever live without Coupang?'"

## Products & Services
- **[Coupang (Rocket Delivery)](#)**: Core e-commerce platform offering millions of products with over 99% of orders delivered same or next day via a proprietary logistics network. Includes Rocket Fresh (groceries) and Rocket Now (ultra-fast delivery).
- **[Coupang Eats](#)**: Restaurant food delivery service.
- **[Coupang Play](#)**: Video streaming service (original content, sports, and licensed shows).
- **[Farfetch](#)**: Global luxury fashion platform acquired by Coupang.
- **[Coupang Fintech](#)**: Payment and financial services (e.g., Coupang Pay, credit card partnerships).
- **[Coupang Logistics & Fulfillment Services](#)**: End-to-end logistics for third-party sellers and brands.
- **[Rocket Growth](#)**: SaaS-like tools and services for sellers/suppliers to manage inventory, analytics, and advertising.

## Market Standing
- **Valuation/Market Cap**: ~$25.8 billion (as of mid-2026) [LinkedIn].
- **Key Metric**: Annual Revenue of **$34.5 billion** (most recent fiscal year) [LinkedIn].
- **Notable Investors/Partners**: Publicly traded on NYSE (institutional investors include SoftBank, BlackRock, Fidelity, and others). Key partners include major global brands and local Korean suppliers.
- **Growth Signals**: 
    - Ranked **#132 on the 2026 Fortune 500**, jumping significantly [investor relations].
    - Rapid AI-driven global commerce expansion (e.g., Taiwan, Singapore, and U.S. tech hubs).
    - 5,940 employees (linkedIn data, with monthly headcount growth of +1.1% and quarterly job posting growth of +154.2%).

## Competitive Advantages
- **Fully Integrated Infrastructure**: Coupang owns and operates over 100 fulfillment and logistics centers (covering tens of millions of square feet) combined with proprietary software, AI, and machine learning to predict demand and route deliveries — a moat that competitors in Korea and emerging markets find hard to replicate.
- **Speed & Reliability**: Over 99% of orders delivered same or next day (including dawn delivery) 365 days a year, setting a bar that most global e-commerce players cannot match.
- **Customer Obsession Culture**: "Wow the Customer" is a core leadership principle, driving constant innovation to break traditional tradeoffs (speed, selection, price).
- **Startup Culture with Fortune 150 Resources**: Offers the agility and risk-taking of an early-stage company combined with the stability, compensation, and scale of a large public corporation.

## Strategic Focus
- **AI & Technology Leadership**: Heavy investment in AI/machine learning for demand forecasting, dynamic routing, and customer personalization. Actively hiring senior ML and data engineers [careers page].
- **Global Expansion**: Leveraging its Korean infrastructure playbook to enter new markets (Taiwan, Singapore) and grow its global footprint.
- **Diversification into Fintech & Content**: Building out Coupang Pay, Coupang Play, and fintech products to create an ecosystem (similar to Amazon Prime's strategy).
- **Farfetch Integration**: Turning the luxury fashion platform into a global growth driver.

## Why Work Here
- **Culture**: "Best of both worlds" — startup energy (fast decision-making, ownership, risk-taking) with the resources of a Fortune 150 company. Flat hierarchy, open culture, and a strong "bias for action" ethos [coupang.jobs].
- **Remote/Hybrid/Office Policy**: Flexible working hours and work-from-home options are available. Many roles are based in offices (Seattle, Mountain View, Seoul, etc.) with state-of-the-art amenities including cafeterias serving three meals a day, lounge spaces, and coffee/snack bars.
- **Benefits**:
    - Medical insurance for employee and direct family.
    - Paid family leave (for celebration or bereavement).
    - Learning programs (foreign languages, soft skills).
    - Global project opportunities (collaborate with teams across continents).
    - Team and company events (games, food, bonding).
- **Engineering Culture**: High-impact projects — building the commerce infrastructure of the future (large-scale AI, logistics optimization, mobile-first, search & discovery). Emphasizes "Hire and Develop the Best" and "Learn & Iterate" principles.
- **Career Growth**: Opportunities for internal rotations, upskilling, and taking on entrepreneurial initiatives within a massive scale.

## Sources
1. [Coupang Careers](https://www.coupang.jobs/en/)
2. [Why Work at Coupang](https://www.coupang.jobs/en/why-coupang/)
3. [Coupang About Us](https://www.aboutcoupang.com/aboutus/)
4. [Coupang Investor Relations](https://ir.aboutcoupang.com/overview/)
5. [LinkedIn - Coupang](https://www.linkedin.com/company/coupang)

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