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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 at since our inception. We are all entrepreneurial 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 for Rocket Growth Product – Seller Experience, you will be solving business problems related to seller experience, seller growth and pricing for Coupang Rocket Growth Product. What will you Do: <ul> <li>Define the right metrics for the business and create dashboards to track and root-cause movements in the key metrics </li> <li>Work with large and complex datasets to derive insights</li> <li>Communicate insights to stakeholders in a clear and actionable manner</li> <li>Participate in experimentation design, A/B tests, product analytics, cohort studies and measuring the effectiveness of product launches</li> <li>Prioritization and time-management in a fast-paced environment, with deep problem-solving for the problem at hand</li> <li>Willingness to challenge the status quo and suggest improvements</li> </ul> <div>Basic Qualifications:  </div> <ul> <li>7+ years of relevant working experience in a data analytics role</li> <li>Proficiency in Excel, SQL and Python/R for data extraction, manipulation and analysis</li> <li>Strong knowledge of data visualization (PowerBI, Tableau or other tools) and data storytelling to communicate insights effectively to non-experts</li> <li>Business-level fluency in English</li> </ul> <div>Preferred Qualifications:</div> <ul> <li>Experience with data engineering tools such as GitHub and Airflow</li> <li>Strong knowledge of statistics, ML techniques</li> <li>Previous experience in e-commerce, logistics, or AdTech companies</li> </ul> <div> Type of work model <ul> <li>Hybrid </li> </ul> Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.   Details to consider  <ul> <li>Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.  </li> </ul> Privacy Notice  <ul> <li>Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: <a href="https://www.coupang.jobs/privacy-policy/">https://www.coupang.jobs/privacy-policy/</a>  </li> </ul> Equal Opportunities for All <ul> <li>Coupang is an equal opportunity employer and is committed to equal opportunity regardless of color, ancestry, religion, sex, nation origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. </li> </ul> </div>