Head of Analytics

Company Introduction 

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

We have recently launched our services in Taiwan including Rocket Delivery which offers next-day delivery for a wide selection of items at affordable prices and Rocket Overseas which offers international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Key Responsibilities:

1. Strategic Leadership & Vision:
• Develop and execute a comprehensive analytics roadmap aligned with country-level business objectives and overall company vision.
• Define key performance indicators (KPIs) and metrics framework for tracking business performance and identifying growth opportunities.
• Act as a strategic thought partner to the Country Manager and other senior leaders, providing data-backed recommendations.
2. Team Building & Mentorship:
• Recruit, lead, mentor, and develop a world-class team of data analysts, data scientists, and potentially BI engineers.
• Foster a collaborative, innovative, and high-performance culture within the analytics team.
• Champion professional development and skill enhancement for team members.
3. Business Intelligence & Reporting:
• Oversee the development, maintenance, and enhancement of robust BI dashboards, automated reports, and self-service analytics tools.
• Ensure timely and accurate reporting on key ecommerce metrics (e.g., Customer Acquisition Cost (CAC), Lifetime Value (LTV), Conversion Rates, Average Order Value (AOV), Churn, inventory turnover, marketing ROI).
• Provide actionable insights to various departments to optimize performance and decision-making.
4. Advanced Analytics & Data Science:
• Drive the application of advanced statistical modeling, machine learning, and predictive analytics to solve complex business problems.
• Identify opportunities for leveraging data science in areas such as customer segmentation, personalization, demand forecasting, fraud detection, pricing optimization, and supply chain efficiency.
• Translate data science outputs into practical business applications.
5. Data Governance & Quality:
• Establish and enforce data governance policies, ensuring data accuracy, integrity, consistency, and accessibility across the organization.
• Collaborate with engineering and product teams to ensure robust data infrastructure and high-quality data capture.
6. Stakeholder Management & Collaboration:
• Partner closely with senior leadership and department heads (Marketing, Sales, Operations, Product, Finance) to understand their analytical needs, define priorities, and deliver impactful solutions.
• Effectively communicate complex analytical findings and recommendations to both technical and non-technical audiences.
• Promote data literacy and a data-driven mindset throughout the [Country Name] organization.
7. Technology & Innovation:
• Stay abreast of the latest analytics tools, technologies, and best practices in the ecommerce industry.
• Evaluate and recommend new tools, platforms, or methodologies to enhance our analytical capabilities.

Qualifications & Experience:

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field). MBA is a plus.
• 12+ years of progressive experience in analytics, business intelligence, or data science
• Proven track record of building and scaling analytics functions within a fast-paced, preferably ecommerce, digital-native, or retail environment.
• Deep understanding of ecommerce business models, customer lifecycle, and key ecommerce metrics.
• Strong proficiency in SQL and at least one programming language for data analysis (e.g., Python, R).
• Hands-on experience with BI visualization tools (e.g., Tableau, Power BI, Looker, Qlik).
• Experience with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) and data pipelines.
• Demonstrable experience applying advanced statistical techniques and machine learning models to solve business problems.
• Excellent communication, presentation, and storytelling skills, with the ability to influence senior stakeholders.
• Strong business acumen and ability to translate data insights into strategic business actions.
• Exceptional leadership, team management, and mentoring skills.
• Fluent in [Local Language of Country] and English.

Preferred Qualifications:

• Experience with A/B testing and experimentation frameworks.
• Familiarity with data engineering principles and ETL processes.
• Experience working in a matrix organization or a multi-national company.

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.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​