Data Analyst, Catalog Onboarding

What will you do?

• Develop and optimize SQL queries that support reliable catalog-data analysis and operational decision-making.
• Build, maintain, monitor, and troubleshoot ETL pipelines across data extraction, transformation, validation, loading, rerun, and failure-handling stages.
• Integrate and analyze catalog data from multiple sources, resolving field-mapping differences, inconsistent formats, duplicate records, and conflicting values.
• Establish data-quality validation rules, investigate integrity issues, define ownership boundaries, and coordinate issue resolution with relevant stakeholders.
• Automate recurring data workflows and analytical tools with observable inputs, processing rules, outputs, validation controls, and exception handling.
• Define productivity and performance metrics, identify patterns and root causes, and convert findings into evidence-linked recommendations and dashboards.

Basic Qualifications

• Demonstrated ability to develop and optimize SQL queries, including query-performance diagnosis and validation.
• Demonstrated experience developing or maintaining ETL pipelines, including monitoring, reruns, and exception handling.
• Ability to integrate and analyze structured catalog data from multiple sources.
• Ability to identify patterns, form testable hypotheses, distinguish correlation from root cause, and develop actionable recommendations.
• Demonstrated ability to automate data workflows or analytical processes with validation and monitoring controls.
• Ability to define and interpret operational productivity and performance metrics.
• Demonstrated ownership of data integrity, including validation rules, issue tracking, remediation, escalation, and stakeholder coordination.
• Experience developing dashboards or business reports from business questions and defined metrics.
• Demonstrated use of generative AI and prompt engineering in data workflows, including input design, output validation, error identification, and iterative correction.
• Ability to execute independently as an individual contributor, manage priorities and dependencies, disclose risks, and complete defined deliverables.

Preferred Qualifications

• Two to three years of relevant SQL and Python coding experience.
• Strong Python coding capability for data ingestion, transformation, validation, debugging, or workflow automation.
• Experience building automated Google Sheets pipelines or using Google Sheets as an interface or processing node for operational tracking.
• Experience demonstrating query-plan interpretation, index usage, or reduced data-scan volume.
• Experience designing an end-to-end data flow covering extraction, transformation, validation, loading, monitoring, and failure recovery.
• Experience converting repetitive data tasks into executable, automatically validated, and monitorable workflows.
• Experience comparing prompt designs for output quality, stability, and reproducibility in data-processing tasks.
• Experience delivering a complete dashboard or report from business question and metric definition through visualization, refresh, and final validation.
• Experience with master data, product data, or other multi-source structured data involving mapping, comparison, standardization, and quality analysis.
• Experience explaining directly owned scope, deliverables, dependencies, escalation boundaries, and completion outcomes.

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 may receive preferential treatment for employment in accordance with applicable laws.