Coupang

Coupang

Coupang is a leading e-commerce company disrupting the industry with innovative services and a customer-centric approach.

Internet Software & Services
1K-5K
Founded 2010

Description

  • Partner with business stakeholders to understand requirements and translate them into data-driven solutions.
  • Define, develop, and maintain KPIs and operational metrics.
  • Perform ad-hoc analysis and deliver actionable insights to support business decisions.
  • Identify trends, risks, and opportunities through data analysis.
  • Develop and maintain ETL/ELT processes for data ingestion, transformation, and reporting.
  • Build scalable and automated data pipelines using SQL and Python.
  • Design data models and support data warehouse initiatives.
  • Ensure data quality, governance, and consistency across systems.
  • Develop scripts and applications to read, write, update, and manage data in relational databases.
  • Optimize SQL queries and database performance.
  • Support database integration between internal and external systems.
  • Troubleshoot data issues and perform root cause analysis.
  • Create and maintain dashboards, reports, and visualizations using BI tools.
  • Deliver recurring and ad-hoc reporting solutions to business teams.
  • Communicate analytical findings clearly to both technical and non-technical audiences.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field.
  • 3+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or related roles.
  • Advanced SQL skills, including complex joins, window functions, stored procedures, and query optimization.
  • Strong Python programming skills for data extraction and transformation, process automation, database integration, and data analysis.
  • Hands-on experience reading from and writing to databases such as MySQL, PostgreSQL, SQL Server, or Oracle.
  • Experience developing ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional modeling.
  • Strong analytical and problem-solving skills.
  • Experience with cloud platforms such as AWS, Azure, or GCP (preferred).
  • Knowledge of data orchestration tools such as Airflow (preferred).
  • Experience with BI tools such as Tableau, Power BI, QuickSight, or Looker (preferred).
  • Familiarity with version control systems such as Git (preferred).
  • Experience working in large-scale, fast-paced environments (preferred).
  • Knowledge of statistical analysis and forecasting techniques (preferred).
  • Technical skills include SQL, Python, ETL/ELT development, relational databases, data warehousing, and dashboard development.
  • Preferred technical tools include AWS Redshift, S3, Athena, Glue, Tableau, Power BI, Airflow, Git, Spark, and PySpark.

Interested in this position?

Apply directly on the company website

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