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數據分析師Data Analyst (Customer-Centric Planning)

coupanginternal
Taipei2w ago

About the role

<p><strong><span data-contrast="auto">Please complete the attached<span class="Apple-converted-space">&nbsp;</span></span></strong><a href="https://coupang.service-now.com/sp?id=kb_article&amp;sysparm_article=KB0010204"><strong><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Internal Transfer Request Form</span></span></strong></a><strong><span data-contrast="auto"> and submit.  </span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;134245417&quot;:false}">&nbsp;</span></p> <p><strong><span data-contrast="auto">Please make sure to<span class="Apple-converted-space">&nbsp;</span></span></strong><span style="text-decoration: underline;"><strong><span data-contrast="auto">apply with your Coupang e-mail address</span></strong></span><strong><span data-contrast="auto">.  </span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;134245417&quot;:false}">&nbsp;</span></p> <p><strong><span data-contrast="auto">  </span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;134245417&quot;:false}">&nbsp;</span></p> <hr> <p><strong><span data-contrast="auto"> </span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;134245417&quot;:false}">&nbsp;</span></p> <p><strong>主要職責:</strong></p> <p>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。</p> <p>端到端數據管道建構與維護 (ETL &amp; 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)。</p> <p>流程自動化與工具開發 (Automation &amp; 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</p> <p><strong> 必要條件:</strong></p> <p>具備處理SQL 查詢 (Recursive CTE, Window Functions, JSON parsing) 的能力。</p> <p>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。</p> <p>熟悉 Tableau Server 、 Power BI 或相關報表製作與操作。</p> <p><strong>加分條件:</strong></p> <p>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。</p> <p>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。</p> <p>具備 Python 實務開發能力,能夠撰寫自動化腳本、處理 API 串接或進行數據轉換。</p> <p>熟悉 Airflow 或類似的工作流調度工具,有實際撰寫與維護 DAG 的經驗。</p> <p>熟悉版本控制工具 (GitHub/Git),習慣 Pull Request (PR) 審查與協作流程。</p> <p>AI/LLM 應用經驗:曾使用 LangChain 或內部 AI 工具建構輔助分析的 Agent 或自動化流程。&nbsp;</p>

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