Staff Product Data Analyst I - CX

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: Staff Data Analyst I

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