Staff Data Analyst (SCM)

Company Introduction:

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. 

Role Overview:
We're seeking a Staff Data Analyst to join our supply chain management technology team. This role is perfect for a passionate data analytics professional eager to collaborate across departments and tackle complex supply chain challenges. You'll play a pivotal role in shaping and executing our vision for automated, data-driven supply chain management.

What You Will Do:

• Collaborate with cross-functional teams to identify opportunities for enhancing operations and business solutions.
• Tackle complex data analysis problems, effectively communicating findings to stakeholders.
• Provide analysis for launched solutions to quantify outcomes.
• Formulate business concerns as technical problems solvable using data and math/stat methods.
• Co-build data analytics culture within the supply chain automation team.
• Develop analytics, success metrics, dashboards, and simulations for products, business, and operations
• Define KPIs and identify improvement opportunities in supply chain analytics.
• Conduct experimentation, A/B tests, and product analytics.
• Build reporting dashboards in tableau / Power BI. Insights / analytics in Jupyter notebook.

Essential Qualifications

• 7-10 years of experience in Business Analytics / Data Analytics / Machine Learning, with a strong track record of delivering impactful insights and solutions that drive business decisions
• Excellent quantitative analysis skills to drive data-driven decision-making, including proficiency in statistical modeling, data visualization, and predictive analytics
• Hands-on experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) for data manipulation, analysis, and reporting, with a focus on extracting insights from large datasets
• Strong critical thinking skills to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with the ability to formulate business problems into data science solutions
• Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis, with experience working with complex datasets and models

Preferred Qualifications:

• Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis
• Experience in statistics/ML fundamentals, including regression, classification, clustering, and dimensionality reduction techniques, as well as experience with machine learning algorithms and deep learning models
• Experience in AI/ML-driven demand forecasting, with the ability to collaborate with ML Engineer and Data Analysis resources to optimize model development and deployment
• Understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results

Recruitment Process

• Application Review - Phone Interview - 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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/