台北市中山區2年以上大學以上待遇面議
■ 團隊介紹
在 Net Protections (TW),我們以創新的支付解決方案服務數百萬用戶,致力於打造全新的行業標準,讓每個人都能輕鬆、安全地使用金融服務。
我們重視扁平化與彈性的工作文化,鼓勵每位成員發揮主動性與影響力。若你渴望在開放的舞台上推動 FinTech 未來,歡迎加入我們的團隊!
■ 職位描述
1. 理解團隊(如行銷、營運等)需求並轉化為具體分析報告或儀表板,協助制定行動策略
2. 協助團隊共同設計新功能,包含上線前效益評估與上線後的資料驗證
3. 基於產品目標及策略主動發起探索性分析專案,提供資料導向的建議給決策團隊
4. 依據專案需求撰寫資料需求及規格說明,並於開發後驗證資料品質
5. 參與或協助A/B 測試流程,提供資料觀點作為優化依據
6. 參與資料分析平台(如Athena, Glue, Quicksight 等)日常維運與功能優化
7. 協助開發與維護資料應用所需的 API 與 Data Pipeline(如Lambda Service、API Gateway 等)
■ 應徵條件
1. 2 年以上資料分析工作或實習經驗
2. 熟悉 SQL ,能獨立進行分析研究
3. 熟悉 Python、資料處理, 並曾撰寫基礎 ETL script 經驗尤佳
4. 熟悉一種 BI 儀表板工具(如 QuickSight, Tableau, PowerBI, Looker Studio 等),可針對使用者需求進行設計與開發
6. 能將抽象問題轉化為資料分析架構,具備良好邏輯思考與資料詮釋能力
7. 具備良好的溝通能力與跨部門的合作經驗
8. 具備英文閱讀與基礎口語/書面表達能力以應對日常工作所需
■ 加分項目
1. 熟悉 GA4、Mixpanel 或其他數據追蹤工具
2. 有 API 開發經驗(如 FastAPI / Lambda),或對資料應用開發有興趣者
3. 熟悉 AWS 資料工具(如Athena、Glue、QuickSight 等)
4. 具備 B2C 跨部門專案管理相關經驗
5. 具備以下平台系統的設計或開發經驗者尤佳:
- 使用者標籤系統
- 個人化行銷推薦系統
- 實驗追蹤/分析系統
- 整合式資料分析平台(如內部報表平台)
6.(Optional)可提供過去執行的「資料分析」或「資料服務應用」等專案資料作為審核參考,建議包含以下內容:
- 研究問題描述
- 分析架構與思考邏輯
- 行動方案或研究成果
■ About the Team
At Net Protections (Taiwan), we serve millions of users with our innovative payment solutions, aiming to redefine industry standards and make financial services more accessible and secure for everyone.
We value a flat and flexible work culture where every team member is encouraged to take initiative and make an impact. If you're looking for a stage to help shape the future of FinTech, come join us!
■ Job Description
1. Translate cross-team (e.g. Marketing, Operations) needs into actionable data analysis reports or dashboards to support strategic decision-making.
2. Collaborate on new feature development by conducting pre-launch impact estimation and post-launch data validation.
3. Proactively lead exploratory analysis based on product goals and strategic direction, offering data-driven insights to stakeholders.
4. Define data requirements/specifications for development teams and validate data quality after implementation.
5. Participate in or support A/B testing processes, offering data insights to guide optimization strategies
6. Take part in the daily operations and improvement of our data analysis platforms, such as AWS Athena, Glue, and QuickSight
7. Support the development and maintenance of APIs and data pipelines (e.g. Lambda services, API Gateway) required for data applications
■ Requirements
1. At least 2 years of experience (or internship) in data analysis.
2. Proficient in SQL and at least one data analysis language such as Python or R, capable of conducting independent analysis.
3. Familiar with at least one BI/dashboard tool (e.g. QuickSight, Tableau, Power BI, Looker Studio) and able to build dashboards based on user needs.
4. Ability to break down abstract problems into analytical frameworks, with solid logical thinking and data interpretation skills
5. Strong communication skills and experience working with cross-functional teams.
6. Basic English communication ability (reading and writing), with the capability to participate in day-to-day English conversations (verbal or Slack communication).
■ Nice-to-Haves
1. Experience with tracking tools such as GA4, Mixpanel, or similar
2. Experience in API development (e.g. FastAPI, Lambda) or a willingness to learn
3. Familiarity with AWS data tools (Athena, Glue, QuickSight)
4. Project management experience in a B2C, cross-functional setting
5. Experience designing or developing the following systems is a big plus:
- User segmentation or tagging systems
- Personalized marketing or recommendation systems
- A/B testing and experimentation platforms
- Internal or integrated data analytics platforms
6. (Optional) If available, we’d love to review past project samples related to data analysis or data applications, ideally including:
- Research problem statement
- Analytical approach and thought process
- Actionable outcome or business impact