數據分析師Data Analyst (Customer-Centric Planning)
Taipeionsitemid
via Greenhouse
About this role
Please complete the attached Internal Transfer Request Form and submit.
Please make sure to apply with your Coupang e-mail address.
主要職責:
營運痛點分析與歸因 (Root Cause Analysis):建構顧客體驗漏斗,從用戶生命週期識別流程問題、營運文題、分析深層原因。
端到端數據管道建構與維護 (ETL & Pipeline):使用 Presto/Hive SQL 處理大規模數據,負責設計與維護 Airflow DAGs、開發並優化數據市集 (Data Marts)、監控數據管道健康度,確保數據準確性 (Data Quality)。
流程自動化與工具開發 (Automation & Tooling):使用 Python 開發自動化腳本,整合 Slack、GitHub、Zendesk、Tableau、Presto、Confluence 與各類內部 API 並使用/導入 LangChain、MCP Server,實現各類研究、報表建立、Quality Assurance 等自動化更新與發布,減少人工介入、提升團隊效率
必要條件:
具備處理SQL 查詢 (Recursive CTE, Window Functions, JSON parsing) 的能力。
具備商業分析敏感度,能將模糊的業務問題 (如「為什麼客訴增加?」) 轉化為具體的數據分析專案。
熟悉 Tableau Server 、 Power BI 或相關報表製作與操作。
加分條件:
熟悉客服與工單系統營運數據結構:有客服、電商、物流等類似系統的數據分析經驗。
具備電商或供應鏈領域知識:了解電商商業模式、物流庫存邏輯。…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, hive, presto, airflow…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Taipei. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlhiveprestoairflowtableaupower bilangchaingitgithubconfluenceslackjson
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