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Senior Business Analyst (Retail Finance)

Coupang

Senior Business Analyst (Retail Finance)

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1w ago

Required Skills

SQL

Data Analysis

Financial Analysis

Data Visualization

Company Introduction

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Team Overview

Taiwan Finance team is a finance business partner for Coupang Taiwan’s business teams. We own financial results by working with stakeholders to define & track business input/output metrics and improve them by performing root-cause analysis. We are hiring a Senior Business Analyst as the company’s business grows exponentially.

What you will do

We are seeking a detail-oriented and analytical Business Analyst to join Taiwan Retail Finance team. You will be required to develop the financial plan and visibility needed to achieve strategic plans and goals, drive decisions and track performance on growth, margins, expenses and strategic initiatives. Business Analyst will be responsible for monitoring and reporting on financial performance, creating essential financial reports and dashboards, and performing in depth analysis on financial risks and opportunities.

  • Design, develop and improve automated reports and dashboards to measure performance and support business needs

  • Pull and leverage data to provide proactive, actionable insights that can identify growth opportunities, increase efficiency, and/or deepen understanding of business

  • Set strategic and measurable goals, define new metrics and collaborate with other teams to achieve success on cross-team projects

  • Has the potential to become a subject matter expert in Retail categories and Pricing

Qualifications

  • Bachelor's degree in business, Finance, Data Analytics, or a related field

  • 5+ years of experience in business analysis in a fast-paced technology-oriented organization (e Commerce preferred)

  • Proven experience in product analysis, data reporting, or a similar role

  • Strong analytical skills with the ability to interpret and present complex data effectively

  • Proficiency in querying databases (e.g., SQL) and data visualization tools (e.g., Excel, Tableau, Power BI)

Recruitment Process and Others

Recruitment Process

  • Application Review

  • SQL Test

  • Onsite (or Virtual Onsite) Interview – Offer

  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

  • This job posting may be closed prior to the stated end date for application if all openings are filled.

  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

  • 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://www.coupang.jobs/privacy-policy/​

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About Coupang

Coupang

An e-commerce platform that offers a wide variety of products, including apparel, electronics, and home goods.

10,001+

Employees

Seoul

Headquarters

$109B

Valuation

Reviews

2.5

9 reviews

Work Life Balance

2.1

Compensation

2.8

Culture

2.4

Career

3.2

Management

1.9

25%

Recommend to a Friend

Pros

Growth opportunities and career advancement

Good compensation and timely pay

Remote work flexibility

Cons

Poor work-life balance and long hours

Toxic management and controlling behavior

Poor working conditions and workplace safety

Salary Ranges

1 data points

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

2 interviews

Difficulty

4.0

/ 5

Offer Rate

50%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Behavioral/Culture Fit Interview

4

Coding Interview

5

Technical Interview

6

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit