Senior Data Analyst (SCM)
Seoul, South Korea
Applications have closed
Coupang
Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.Introduction
This role would be part of Fresh - SCM Autonomation team in Coupang. SCM Autonomation team is responsible for building products, deep data science capabilities, analytical frameworks to provide world class solutions to our customers in term of products availability (measured as Instock) on platform and at the same time solving it at right cost to business (measured as Scrap and/or DOC). This team is responsible for building scalable product & analytical solutions in Forecasting, Capacity orchestration, Master management, Auto replenishment, Inventory placement and Vendor supply design areas
Role Overview
As a Senior Data Analyst for Fresh SCM, you will be owning and driving critical decision making across a range of ambiguous problems using data. Fresh – SCM area belongs to “Operations Research” domain and involves lot of optimization problem solving. You will be part of team solving interesting problems such as “Optimal vendor ordering & delivery schedule”, “Optimal inventory design targets” or Price elasticity of demand sensitivity to forecasting variance. You will be involved in building analytical capabilities for Fresh-Grocery, fastest growing category in eCommerce across world, involving low shelf-life SKUs which bring another level of complexity all together.
You will be structuring the data, defining constraints, parameters, and decision variables, and run simulations to optimize business outcomes and facilitate business decision making. You have a mindset that constantly challenges the status quo, and you possess a high degree of decision-making acumen.
What You Will Do
- Inventory Analytics & modelling working with forecasting data science, supply chain, product teams and building decision models using statistical tools
- Forecasting Analytics – defining KPIs and identifying improvement opportunities
- Solving Network Inventory redistribution optimization problem
- Utilize code (Python, R, SQL etc.) for extracting, analyzing, and structuring data to facilitate insightful business decision making
- Run simulations and build optimizing models factoring in constraints and a wide range of variables and outliers
- Build reporting dashboards, measure performance, and provide insights explaining variances
Basic Qualifications
- Native in Korean, Business level of English
- Bachelor's degree or above
- +5 years of experience in Business Analytics / Data Analytics
- Highly proficient in business & data analytics and associated tools like Tableau / Power BI and Excel / R. Either of Tableau or Power BI
Recruitment Process and Others
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/
Document Return Policy
- This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
- A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
- A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
- In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
- Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Data Analytics E-commerce Excel KPIs Power BI Privacy Python R Research SQL Statistics Tableau
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.