【Shoplus - Social Commerce Enabler】
Shoplus is a one-dashboard AI-powered online tool tailored to meet social sellers' needs. Featured with a free AI chatbot, Shoplus sorts out all fragmented order, payment, and logistic processes that once consumed merchants a great portion of time and energy. The ultimate version of Shoplus, in our vision, should fulfill every seller's every single last-mile need at scale.
Asia is the future of Shoplus and we are poised for exponential growth in the region for the next ten years. If you love to sweat, thrive in a fast-paced environment, and are always challenging yourself to become better and value fun, this is the place for you!
【Job Description】
As a data product manager / data analyst in Shoplus, your mission is to manage all requirements related to DATA from internal and external users. You serve as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business decisions. The role needs to receive different data requests from the top of the company to the bottom of each operating unit. It is necessary to have a strong ability to clarify various problems, assist in formulating and output the right quantitative indicators, and use data analysis methods to produce more business solutions and create more value for the company. One must be familiar with formulating various data collection methods and specifications, and be proficient in using various analysis tools and data visualization methods.
【Responsibilities】
1. Design, maintain and oversee data systems and databases; this includes identifying coding errors and other data-related problems.
2. Collaborate with business teams to understand their needs, formulate and complete end-to-end solutions that include data gathering, analysis, ongoing scaled deliverables, and presentations.
3. Oversee and organize the framework of data collection and utilization for analysis covering user behaviors, acquisition attribution, growth funnel and other key operational metrics.
4. Work with both business and technical teams, constantly problem-solve on evolving new analytical, data tracking or processing needs
5. Develop and automate reports for transforming data into actionable insights to inform business decisions using SQL, scripting and data visualization tools.
【Requirements】
1. Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications.
2. 2 years above of experience in BI/data analytics in tech/e-commerce or fast-paced environment.
3. Experience working with statistical software (e.g. R, Python, Excel, etc.) with knowledge of basic statistical principles and practical applications.
4. Deep understanding of how data get tracked and collected from web / mobile applications to an analytic service.
5. Ability to write complex SQL.
6. Ability to write simple scripts to extract data from web page.
7. Ability to translate analysis results into business recommendations and insights.
8. Ability to present the insights clearly to technical and non-technical audiences.
9. Familiar with data visualization tools (such as Tableau, Metabase, Excel, etc).
【Work Conditions】
1. Based in Taiwan.
2. Remotely communicate with the local product manager and other team members to understand the market (if needed).
More Info>>>https://www.shoplus.me/en/
【休假制度】
除勞基法規定特休外，每年額外提供五天全薪彈性休假，以及全薪病假、女性同仁全薪生理假、產檢假、志工假。
【工作環境】
明亮開放的辦公環境，依照職務需求提供彈性遠端工作（Work-from-Home），更有零食及咖啡無限供應，視障按摩師駐辦公室按摩服務。
【海外輪調機會】
提供同仁申請海外輪調機會，體驗異國職場文化的機會。
【多元溝通】
每兩週舉辦一次公司全員大會並提供美味餐點，讓員工可以深入瞭解公司的發展近況，並設有員工匿名提問、反饋制度，讓所有人都可以提出建議，意見不用怕被忽視。
【職訓課程】
完整的新人訓練，幫助新進的同仁能快速上手融入團隊。邀請外部講師或內部同仁授課，也可以申請工作技能相關的課程補助，在職涯發展的路上持續精進自己的專業。
【娛樂活動】
福委會舉辦的國內員工旅遊和趣味活動，例如：聖誕節交換禮物、辦公室密室逃脫...等。
【獎金制度】
提供優渥的人才推薦獎金，獎勵優秀同事表現的同儕獎金，另外包含年終獎金、端午節禮金、中秋節禮金以及生日禮金。
【職業安全】
新進和在職同仁提供年度健康檢查，並邀請執照醫生在公司舉辦年度健康講座，以及場駐護理師健康生理心理諮詢。
