[Pricing Analytics] Staff Data Analyst

Staff Data Analyst

Job Overview:

As our Staff Data Analyst for Pricing and Retail Analytics, you will be responsible for ensuring the quality of regular reports and metrics, supporting and influencing system-wide decision-making through effective insight reports. Coupang fosters a data-driven culture, empowered by rapid test-and-learn methodologies across all customer-facing domains. You will have the opportunity to work in many different areas , including Pricing, Retail Commerce, 3P Commerce and Promotions. You will join a team of data analysts committed to bringing clarity to business by establishing metrics frameworks, building reports, and contributing to effective decision-making with insightful reports. Your engagement with product owners, operational teams, engineers, and other stakeholders will have a significant impact on our business.

Key Responsibilities:

• Develop a holistic understanding of your assigned domain, establish a comprehensive input/output metrics framework to clarify business operations, and set benchmarks/targets to track excellence in various business areas.
• Create and maintain user-friendly reports and dashboards to enhance the effectiveness of business decisions and operations, catering to the needs of both leadership and key partnering teams.
• Conduct in-depth analyses on key projects and develop logically sound insight reports with clear recommendations, being objective and vocal in your approach to influence stakeholders.
• Prioritize daily tasks and proactively engage with stakeholders to ensure alignment and effective collaboration.
• Keep the developed reports and backend systems up-to-date, including learning and deploying new technologies in both methodology and technical/software aspects.
• Maintain thorough documentation of knowledge and best practices, and provide training and mentorship to junior team members.

Qualifications:

• Master's degree in Mathematics, Statistics, Economics, or other technical or business fields (Bachelor's degree with extensive experience is also considered).
• 5+ years of experience in data science, business analytics, or other quantitative fields with a Master's degree, or 7+ years with a Bachelor's degree.
• Excellent SQL skills and a good understanding of statistical analysis.
• Proficient in English, both written and spoken; strong presentation and communication skills.
• Experience in initiating and driving analytics projects, delivering actionable insights and recommendations to the business.
• Experience in creating Tableau, PowerBI, Grafana, or similar GUI-based reports; not just a data producer, but a heavy data consumer.
• Experience with data analytics tools such as relevant Python libraries, Spark, R, as well as ETL engineering tools like GitHub and Airflow.

Preferred Qualifications:

• Relevant working experience in the retail/e-commerce industry.
• Proficiency in Korean or experience working and living in South Korea is advantageous.