Join Our Team as a Staff Data Analyst at Coupang
Job Description:
Are you ready to take on challenging and ambiguous problems within a supply chain environment using your expertise in data analysis? Coupang is looking for a talented Staff Data Analyst to help optimize business outcomes and facilitate strategic decision making through detailed data structuring, analysis, simulations, and modeling of extensive datasets. Join our rapidly growing and dynamic team in this unique role that offers an expansive end-to-end view of international business expansion within the e-commerce sector.
Key Responsibilities:
- Collaborate with cross-functional teams to enhance operational and business solutions.
- Solve complex data analysis problems and effectively communicate findings to all stakeholders.
- Use analysis on launched solutions to quantify their success and impact.
- Translate business challenges into technical problems solvable with advanced data and mathematical/statistical methods.
- Help foster a culture of data analytics within the supply chain automation team.
- Create analytics, build success metrics, dashboards, and simulations for a variety of products and operations.
- Define Key Performance Indicators (KPIs) and identify opportunities to enhance supply chain analytics.
- Perform experimentation, A/B testing, and robust product analytics.
- Develop and manage advanced reporting dashboards utilizing tableau or Power BI and perform analytics in Jupyter notebook.
Qualifications:
- A minimum of 7-10 years experience in Business Analytics/Data Analytics/Machine Learning.
- At least 5 years of relevant experience in an analytical role involving data extraction, analysis, statistical modeling, and effective communication.
- Proven quantitative analysis skills and a strong foundation in statistics/ML fundamentals.
- In-depth knowledge of SQL, Python, and data visualization tools alongside excellent data manipulation skills.
- The ability to independently tackle and solve challenges presented in business scenarios using data science.
Preferred Qualifications:
- Experience with Big Data tools such as Hadoop, Spark, and Presto.
- Prior experience in the e-commerce sector, specifically in retail/FMCG, distribution, or global corporations.
- Background in Supply Chain, Inventory Planning, or Demand and Supply Planning is highly desirable.
What We Offer:
- A dynamic work environment full of growth opportunities.
- A competitive salary and comprehensive benefits package.
- A collaborative culture that appreciates innovation, integrity, and diversity.
Ready to drive impactful decisions at one of the fastest-growing international e-commerce companies? Apply now to become part of our team at Coupang as a Staff Data Analyst. Shape the future of our global expansion with your analytical expertise!