Staff, Data Analyst (Corporate FP&A)

Role Overview

Coupang’s Corporate Finance Data Analysts play a critical role in driving our phenomenal growth by providing insights and analysis of key issues and new initiatives. As a Corporate Finance Data Analyst, you will manage a portfolio of financial and business metrics and act as a strategic partner to the organization. You will also function as an ambassador, championing Coupang’s leadership principles and corporate culture.

What You Will Do

• Collaborate with business partners to identify the core financial and business metrics, identify robust data sources, and create data structures to enable timely and meaningful analytics.
• Create clear, intuitive, and flexible business intelligence tools to provide insights and feedback to company leadership.
• Collaborate with business partners to identify business problems, generate ideas to tackle the problems, test hypotheses through rapid prototyping, and establish target state architecture to achieve business goals.
• Define, publish, and communicate data strategy, standards, patterns, reference architectures, frameworks, and roadmaps to enable data sharing across the enterprise.
• Partner with other architecture fields to design data solutions with a strong focus on security, scalability, observability, and operational excellence.
• Apply the latest research and industry trends to build best-in-class enterprise data solutions.
• Be a hands-on architect. Build solution prototypes and conduct experiments to evaluate architectural alternatives.
• Manage, govern, and evangelize enterprise data model management practice.
• Develop enterprise conceptual, logical, and physical data models for batch and streaming architectures.

Basic Qualifications

• • Bachelor’s degree in Computer Science or equivalent
  • Knowledge of financial terms and information
  • 10+ years of professional experience
  • 5+ years of enterprise data architecture, design patterns, tradeoff analysis, and delivery acceleration in cloud-native environments
  • 3+ years of data solutions enabling Analytical, Operational, Data Science, and ML data flows
  • 3+ years of hands-on experience in metadata management, metadata-driven automation, and developer productivity tooling
  • 3+ years of large-scale event-driven and streaming solutions in cloud-native environments
  • 5+ years with advanced SQL and scripting (Python/Bash etc.) development
  • 2+ years developing or working with taxonomies/ontologies
  • Experience working/collaborating with Master Data Management, Metadata Management, and Data Governance
  • Excellent verbal and written communication skills
  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion