[L6-2]Manager II, Data Analysis

Description

Coupang is revolutionizing the e-commerce experience. Driven by an obsession to "wow" our customers, we are one of the fastest-growing e-commerce companies globally. We uniquely blend a dynamic startup culture with the resources of a large, publicly traded company, fueling our rapid growth and innovation. What truly sets us apart is our speed – we empower our teams to move quickly from innovative ideas to real-world implementation, allowing you to see the direct impact of your work on millions of customers. Join us as we push the boundaries of commerce, solve complex challenges, and make an epic impact.

Role Overview

We are seeking a hands-on and strategic Data Analytics Manager to lead a small team of talented analysts within our Supply Chain Management Systems (SCMS) organization. This is a "player-coach" role where you will not only guide and mentor your team but also actively contribute to solving our most complex analytical challenges. The ideal candidate is adept at translating ambiguous business problems into concrete analytical frameworks and solutions, especially when data is not perfectly structured or labeled. You will champion a philosophy of simplification to build scalable, low-maintenance analytics solutions, and partner closely with business and tech stakeholders to drive data-informed strategy and execution in a fast-paced, agile environment.

What You'll Do:

• Lead & Mentor: Manage and develop a small team of business and data analysts, fostering their technical and professional growth. Guide the team in tackling complex analytical problems and delivering high-impact insights.
• Individual Contribution & Deep Dives: Serve as a hands-on technical leader by personally executing deep-dive analyses. Move seamlessly from a high-level problem statement to a detailed solution, demonstrating a strong ability to work through ambiguity and complex data-wrangling challenges.
• Stakeholder Management & Prioritization: Collaborate directly with product managers, operations leaders, and engineering teams to understand business needs, define the analytics roadmap, and manage project prioritization in an agile workflow.
• Drive Simplification: Champion and implement best practices for creating simple, effective, and sustainable analytics solutions. Focus on minimizing technical debt in reports, dashboards, and data models, and proactively identify opportunities to consolidate metrics and dashboards where synergies exist to ensure long-term scalability.
• Develop Visualizations & Reporting: Oversee the development of and contribute to building insightful, automated, and user-friendly dashboards and reports using BI tools (e.g., Tableau, Power BI) to track key performance indicators and empower stakeholders with self-service analytics.
• Enhance Data Strategy: Define critical business metrics, establish processes for monitoring performance against goals, and identify opportunities to improve data quality and analytics infrastructure.

Essential Qualifications:

• Bachelor’s or Master’s degree in a quantitative field (e.g., Business Analytics, Statistics, Engineering, Computer Science, Economics, or a related discipline).
• 5+ years of experience in data analysis, business intelligence, or a related field, with at least 1-2 years of experience managing a team or acting as a formal project/team lead.
• Proven ability to act as both an individual contributor and a team manager.
• Expert-level proficiency in writing and optimizing complex SQL queries on large-scale datasets.
• Strong, hands-on experience with data visualization tools like Tableau, Power BI, Looker, or similar.
• Demonstrated ability to tackle ambiguous problems, perform "dive deep" investigations to find root causes, and deliver solutions even when data definitions are not straightforward.
• Excellent written and spoken communication skills in English.
• Proven ability to discuss project priorities and trade-offs effectively with senior stakeholders.
• Experience working in an agile development environment.

Preferred Qualifications:

• Proficiency in Python (particularly Pandas, NumPy) for data manipulation and analysis.
• Experience in Supply Chain Management, Logistics, E-commerce, or a related operations-focused industry.
• Experience with statistical analysis techniques (e.g., hypothesis testing, regression).
• Ability to use large-scale data ecosystems and tools like PySpark.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.