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채용Coupang

Manager II, Product Data Analytics - CX

Coupang

Manager II, Product Data Analytics - CX

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1mo ago

필수 스킬

SQL

Data Analytics

Critical Thinking

Communication

Description

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?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

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. At Coupang, every day is filled with the excitement of building, 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 challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

  • Position: Manager II, Product Data Analytics
  • CX

As a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

What You Will Do:

Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.

Expert thought leadership as an ecommerce and fulfillment service analyst.

Qualifications :

Experiencing working in Fraud domain is a plus

Expert SQL knowledge, with 7+ years’ work experience in data analytics

Experience in providing clear and actionable plans by analyzing data and insights

Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

Great ability to think critically and solve nonstructural problems

Strong communication skills to share analysis results clearly and concisely

Experience with big data tools like Hadoop, Spark, and Presto

Experience with BI tools like Power BI or Tableau:

Bachelor’s degree in statistics or computer engineering or equivalent experience

Preferences :

Experience with Python and R/SAS, or other statistical packages

Experience in working with version control (Git, SVN, etc.)

Well diverse in or comfortable with learning new modern data tools

Master’s degree in statistics or engineering or equivalent experience

Experience analyzing e-commerce and customer behavior logs

Strong English skill (both verbal and written) is a plus

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Coupang 소개

Coupang

Coupang

Public

Coupang, Inc. is a South-Korean-founded and American Delaware-incorporated technology and online retail company headquartered in Seattle, Washington and incorporated in Delaware.

10,001+

직원 수

Seoul

본사 위치

$109B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.9

문화

3.7

커리어

3.4

경영진

3.1

72%

친구에게 추천

장점

Good compensation and benefits

Learning and growth opportunities

Supportive team and collaborative environment

단점

Work-life balance challenges

Management and communication issues

Heavy workload and long hours

연봉 정보

2개 데이터

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 경험

3개 면접

난이도

3.0

/ 5

합격률

33%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit