資料分析師 Data Analyst (Mid to Senior)

✨ 加入 KICKS CREW，與我們一起成長！CAN’T STOP WON’T STOP！ ✨

• KICKS CREW 是一個快速成長的全球電商平台，專注於球鞋與潮流服飾。我們致力透過資料與技術，持續優化消費者的購物體驗與公司決策效率。

KICKS CREW is a rapidly growing global e-commerce platform specializing in sneakers and apparel. We leverage data and technology to continuously improve the customer experience and business decision-making.

• 我們正在尋找一位具備 3 年以上經驗的資料分析師，負責建立一致且可信賴的業務指標，並與資料工程及各業務團隊合作，打造以 BigQuery 為基礎、可擴展的指標層。

We are looking for a Data Analyst with 3+ years of experience to establish consistent and reliable business metrics and collaborate with Data Engineering and business teams to build a scalable metric layer powered by BigQuery.

[關於此職位 About the Role]

• 此職位的核心目標，是確保同一項指標在不同報表與團隊中皆採用一致的定義與計算邏輯，讓公司能根據可信賴的資料做出決策。

The core goal of this role is to ensure that each metric follows one consistent definition and calculation logic across different reports and teams, enabling reliable data-driven decisions.

• 你的主要交付成果將是指標定義、查詢邏輯、驗證結果與文件，而非持續製作大量客製化儀表板。

Your primary deliverables will be metric definitions, query logic, validation results, and documentation rather than maintaining a large number of bespoke dashboards.

[工作職責 Responsibilities]

• 推動產品、營運、財務、行銷及商務團隊對核心業務指標的定義取得共識。

Drive alignment across Product, Operations, Finance, Marketing, and Commercial teams on core business metrics.

• 建立並維護指標目錄，清楚記錄業務定義、計算邏輯、來源資料、納入與排除條件及已知限制。

Build and maintain a metric catalogue documenting business definitions, calculation logic, source data, inclusions, exclusions, and known limitations.

• 透過抽樣、對帳及單筆紀錄追溯，驗證資料與指標的正確性。

Validate data and metrics through sampling, reconciliation, and end-to-end record tracing.

• 調查 BI 報表、營運系統及財務報表之間的數字差異，找出根本原因並提出改善方案。

Investigate discrepancies across BI reports, operational systems, and financial reports, identify root causes, and recommend improvements.

• 與資料工程師合作，將業務需求轉化為資料模型與轉換邏輯，建立可重複使用的指標資產。

Partner with Data Engineers to translate business requirements into data models and transformation logic and build reusable metric assets.

• 支援臨時分析、產品成效衡量及自助分析，協助各團隊正確使用公司資料。

Support ad-hoc analysis, product performance measurement, and self-service analytics to help teams use company data effectively.

[任職條件 Requirements]

• 具備 3 年以上 Data Analyst、BI Analyst 或 Analytics Engineer 相關經驗；5 年以上經驗者將對應資深職級。

3+ years of experience as a Data Analyst, BI Analyst, or Analytics Engineer; candidates with 5+ years of experience may be considered for the senior level.

• 具備紮實的 SQL 能力，熟悉複雜 JOIN、CTE、視窗函數及可維護的查詢邏輯。

Strong SQL skills, including complex joins, CTEs, window functions, and maintainable query logic.

• 具備 Google BigQuery 實作經驗，了解 partitioning、clustering 及查詢成本。

Hands-on experience with Google BigQuery, including partitioning, clustering, and query-cost considerations.

• 具備資料建模、指標定義、資料驗證及跨部門協作經驗。

Experience in data modelling, metric definition, data validation, and cross-functional collaboration.

• 熟悉 Git 與版本控管流程，並能運用 AI 工具提升分析、驗證及文件撰寫效率。

Familiarity with Git and version-controlled workflows, with the ability to use AI tools to improve analysis, validation, and documentation.

• 具備高度自主性，能在資訊不完整或意見不同的情況下推動共識。

Able to work independently and drive alignment when requirements are ambiguous or stakeholder views differ.

• 中文聽說讀寫流利，能與內部團隊進行日常溝通。

Fluent in spoken and written Mandarin Chinese for day-to-day collaboration with internal teams.