Senior Data Analyst

About this role

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 we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant 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 entrepreneurial 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.

Job Overview

As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate complex infrastructure and product usage data into actionable insights, driving data-informed decisions for our high-scale platform. You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools.

You will be accountable for raising the bar on data quality, reporting accuracy, and analytical rigor across the organization.

Key Responsibilities

• Design, execute, and maintain end-to-end analytical frameworks to monitor platform usage, user engagement, and system performance.

• Build and maintain scalable data models, transformation pipelines (using dbt or SQL), and data pipelines to support reporting needs.

• Create intuitive executive dashboards and operational reports using visualization tools like Tableau, Looker, or Power BI.

• Perform deep-dive quantitative analyses to uncover trends, identify platform bottlenecks, and guide product roadmap decisions.

• Partner with engineering and product teams to define, instrument, and validate key metrics for new features and platform infrastructure services.

• Analyze high-volume datasets across hybrid cloud environments to optimize platform resource utilization and operational efficiency.

• Drive standardized metric definitions, documentation, and data governance standards across cross-functional teams.

• Mentor junior analysts, perform code reviews for analytical queries, and foster a data-driven culture.

• Translate complex data and technical findings into clear, strategic recommendations for non-technical stakeholders and executive leadership.

Basic Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field.

• 5+ years of experience in data analytics, business intelligence, or quantitative analysis, preferably supporting technical or platform products.

• Advanced proficiency in SQL for querying large, complex relational and non-relational databases.

• Strong hands-on experience using Python or R for data analysis, data manipulation, and automation.

• Proven experience designing data models and building dashboards in enterprise BI tools (e.g., Tableau, Looker, Power BI).

• Hands-on experience working with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks).

• Deep understanding of statistical methods, data modeling, and data warehouse architecture.

• Strong communication, storytelling, and stakeholder management skills.

Preferred Qualifications

• Master’s degree in Data Science, Statistics, Business Analytics, or a related quantitative field.

• Experience with data transformation and orchestration tools (e.g., dbt, Apache Airflow).

• Familiarity with analyzing data from distributed systems, API logs, or streaming platforms (e.g., Kafka).

• Exposure to AI/ML product metrics or analytics supporting data engineering and AI workflows.

• Strong understanding of statistical experimentation, A/B testing frameworks, and predictive modeling.

• Experience writing production-grade analytics code using git, version control, and CI/CD practices.

• Ability to work independently in a fast-paced environment and manage multiple priorities effectively.

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $114K/year to $196K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Annual bonus is 0-20% of the base salary

• Medical/Dental/Vision/Life, AD&D insurance

• Flexible Spending Accounts (FSA) & Health Savings Account (HAS)

• Long-term/Short-term Disability

• Employee Assistance Program (EAP) program

• 401K Plan with Company Match

• 18-21 days of Paid Time Off (PTO) a year based on the tenure

• 12 Paid Holidays

• Paid Parental leave

• Pre-tax commuter benefits

• MTV- [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment pro

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