Senior, Data Analyst (Pricing Intelligence)

Sep 16, 2023

Seoul, South Korea

Team & Role Overview

As our Staff Data Analyst for Retail Intelligence team, you will be responsible for ensuring the quality of regular reports and metric as well as helping with system wide decision-making algorithms. Coupang embraces a data driven culture enabled by high velocity test and learn across all customer facing domains. You will have opportunities to work closely with many different areas including, Pricing, Retail Commerce, 3P Commerce, and Promotions. You will join a team of data scientists and analysts dedicated to building reports and system support algorithms, serving all of these areas and the associated users including product owners, engineers and business analysts. You will have a chance to own, lead, track, and deliver features or projects from start to finish and will experience working with stakeholders and developers in order to have the projects delivered on time with the highest quality.

What you will do:
1. Develop business operations related decision-making systems to improve the efficiency of business operations
2. Analyze domain data to provide insights and help develop key metrics
3. Explain reports, algorithm details, and results to both technical and non-technical stakeholders
4. Prioritize the metric development requests and lead the junior BAs to support key business initiatives in the company
5. Keep the developed reports and systems up-to-date, including learning and deploying new technologies, both in methodology and in technical / software
6. Document project deliverables and decisions made as well as final results
7. Work with stakeholders to identify project requirements, translate them into tasks, and lead teams to have tasks completed on time with high quality
8. Train and mentor junior team members

1. Major in math, statistics, other technical or business fields
2. 3+ Job years experience in data science, business analytics and other quantitative fields
3. Excellent skills in SQL
4. Proficient in English (nice to have as well)
5. Strong presentation and communication skills
6. Good understanding of statistical analysis and algorithm design
7. Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business
8. Experience working with stakeholders in requirement identification and final delivery for features and analytical projects

1. Experience with creating Tableau (main tool for visualization), Grafana, or similar GUI based reports
2. Relevant working experience in retail/e-commerce business (nice to have)
3. Experience with data analytics tools such as relevant Python libraries, Spark, R as well as engineering tools such as GitHub and Airflow (very good to have – Python, Spark, R)
4. Experience with documentation and project management tools (Wiki, Jira, Gannt charts, and similar) as well as final result presentation (such as Powerpoint)

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