Wait, What Do You Do?

PURPOSE & OVERALL RELEVANCE FOR THE ORGANIZATION As a Digital Analytics & Planning Senior Specialist, you support a broad range of digital analytics initiatives under the guidance of senior analytics managers. Your contributions encompass performance reporting, data preparation, dashboard upkeep, and ad-hoc analyses designed to enable stakeholders to make informed, evidence-based decisions. This position functions as a cross-domain analytics role; you will transition between domains and projects according to team priorities, providing opportunities to develop expertise across all facets of digital analytics, including performance metrics, digital experience, consumer insights, and more. KEY RESPONSIBILITIES Performance Reporting & Dashboard Operations <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Support the preparation of recurring eCom performance reports (weekly/monthly/quarterly).</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Maintain and update dashboards under guidance from senior analysts.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Conduct data quality checks to ensure accuracy, consistency, and completeness.</li> </ul> Ad-hoc Analytics & Automation <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Perform exploratory analysis to address business questions on traffic, conversion, assortment, CRM/membership, and other KPIs.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Deliver data extracts and summary for Buying, Planning, Membership, and Digital Experience teams.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Assist senior analysts with deep‑dive analyses and advanced analytical work (e.g., campaign evaluation, consumer segmentation).</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Identify recurring manual tasks and support automation using SQL, Python, or other tools.</li> </ul> Marketplace & Competitor Analytics <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Support tracking of marketplace (e.g., partner platforms) performance such as traffic, conversion, assortment visibility, and search ranking using available dashboards or data extracts.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Collect and structure competitor information (e.g., pricing, promotions, assortment, new launches) from internal tools or external sources to support competitive benchmarking.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Build competitor/marketplace dashboards and deliver regular trend reports.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Provide ad-hoc data pulls and exploratory checks when marketplace or competitor changes require quick validation or impact assessment.</li> </ul> KEY RELATIONSHIPS <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">KOREA e-com team</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">KOREA Function teams (Brand, Data & Analytics)</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Global analytics teams (Digital analytics, Data & Analytics) </li> </ul> REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Degree in Statistics, Economics, Math, Data Science, Business or related field preferred; or an equivalent combination of education and experience</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">0–2 years experience in digital analytics, business analytics, data processing, e-commerce analytics, or similar (internships included).</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Experience in a digital or e-commerce environment preferred.</li> </ul> KNOWLEDGE & SKILLS <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Strong analytical skills and clear communication, able to translate business questions into structured analysis.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Good understanding of e-commerce dynamics and common digital KPIs (demand, traffic, conversion, AOV, AOF, consumer engagement, etc.)</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Strong hands-on capability in data processing and analytics using SQL, Python, PowerBI or similar tools</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Self-driven, detail-oriented, and eager to learn new analytics tools, techniques, and AI-driven approaches.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Plus would be considered: <ul style="list-style-type:circle;margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Exposure to machine learning/deep learing/LLM and big data platforms.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Experience building data science or machine learning models.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Experience supporting merchandising, financial planning or marketing teams with data and insights.</li> </ul> </li> <li style="text-align:justify;margin:0.0in 0.0in 0.0in 0.0px;font-size:10.0pt;font-family:'Times New Roman', serif">Fluent English, both spoken and written.</li> </ul>

Sr. Specialist, Digital Analytics & Planning, eCommerce (Seoul, KR)