Coupang
Company
Senior Director, Data Analytics
Job 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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.
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. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, 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 break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
- Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
- This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
Coupang
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