Staff Data Analyst at Coupang, Inc.

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Statistical Modeling, Python, SQL, Data Visualization, Critical Thinking, Supply Chain Analytics, A/B Testing, Dashboard Development, Big Data Tools, E-commerce, Inventory Planning, Demand Planning, Experimentation, Quantitative Analysis

Industry

Software Development

Description

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: As a Staff Data Analyst, you will drive critical decision making and modeling across a range of ambiguous problems in the supply chain. You will be structuring the data, performing analysis, running simulations, and modeling large-scale datasets to optimize business outcomes and facilitate business decision making. This is a rare opportunity to be part of a diverse, growing, and dynamic team. You will be part of an international expansion team where you will get a broad end-to-end view of the expansion of an e-commerce business. 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 management 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. Supply Chain Analytics – defining KPIs and identifying improvement opportunities. 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. 5+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication Excellent quantitative analysis skills Strong experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and visualization tools. Strong critical thinking skills and ability to solve problems using data science and machine learning fundamentals. Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them Preferred Qualifications: Experience with big data tools like Hadoop, Spark, and Presto Experience working in e-commerce domain Experience in e-commerce, retail/FMCG & distribution (e.g. Discount Store, CVS) or global companies Experience with Supply Chain / Inventory Planning / Demand & Supply Planning 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/

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Responsibilities

As a Staff Data Analyst, you will drive critical decision making and modeling across a range of ambiguous problems in the supply chain. You will collaborate with cross-functional teams to identify opportunities for enhancing operations and business solutions.