About this role
Pragmatic data professionals who enjoy solving complex supply chain and inventory challenges will thrive in this position at Coupang. The supply chain team builds advanced forecasting models, attribution frameworks, and analytics systems to support the rapid expansion of Rocket Delivery and Rocket Oversea services in Taiwan.
Daily work involves developing smart heuristics, building rapid proof-of-concepts, leveraging large language models to automate workflows, and partnering with engineering teams to productionalize solutions. This role exists to serve as the strategic core of the supply chain analytics function, turning intricate data into actionable business directives and maintaining ownership of critical key performance indicators.
What you will do
- Proactively identify supply chain weaknesses and develop practical heuristics to improve demand forecasting, out-of-stock attribution, and excess inventory management.
- Build working prototypes and rapid proof-of-concepts, including automated root cause analysis dashboards for out-of-stock events.
- Design and execute experimentation, A/B tests, cohort studies, and product launch measurements.
- Leverage large language models and prompt engineering to automate unstructured data and accelerate internal analytical workflows.
- Partner closely with demand planning and engineering teams to ensure validated logic is integrated into core inventory planning systems.
- Own core supply chain key performance indicators like demand forecast accuracy, sell-through, and forecast coverage while explaining the underlying drivers.
- Communicate findings clearly to both technical and non-technical stakeholders to bridge complex analysis with business directives.
What you need
- Bring over eight years of relevant working experience in a data analytics or business intelligence role.
- Demonstrate expert-level proficiency in SQL and either Python or R for data extraction and manipulation.
- Possess practical experience with prompt engineering and generative AI tools to solve data problems or automate tasks.
- Show mastery of data storytelling using visualization tools such as PowerBI or Tableau.
- Communicate with business-level fluency in English and demonstrate the ability to onboard non-technical users.
Nice to have
- Hands-on experience with version control using GitHub and workflow orchestration tools like Airflow
- Experience managing internal wikis like Confluence or Notion for structured knowledge bases
- Previous domain expertise in retail, e-commerce, and demand forecasting
- Strong knowledge of statistics and machine learning techniques including elasticity modeling and clustering
Skills and tech stack
Questions candidates ask
What does the hiring process look like?
The recruitment process consists of an application review, a phone interview, and an onsite or virtual onsite interview before an offer is made. The exact nature of the process may vary according to the specific job and can change due to scheduling or other circumstances.
How will I be informed about interview schedules and results?
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Can the job posting close early?
This job posting may be closed prior to the stated end date for application if all openings are filled.