Cake 找工作

【Job Summary】 This is an exciting opportunity at a Global Unified Commerce enabler providing SaaS solutions. As a Data Analyst, you will be responsible for deep-diving into data and providing actionable insights to facilitate better strategic decision-making. 【What you will be doing】 Deliver Insights: Provide data-driven insights to internal commercial teams, addressing a wide range of business questions and needs.Business Logic Metrics: Develop a comprehensive understanding of the business to drive the analysis of operating and tracking metricsDashboard Development: Build metrics dashboards to track and monitor platform performance and progress.Reporting: Create analytical reports to provide deep dives into key topics, enabling better decision-making to solve business problems.Proactive Exploration: Proactively explore complex datasets to uncover valuable insights and identify potential issues.Data Culture: Promote and foster a data-driven mindset within the company. 【 Who we are looking for 】 Proven Experience: Demonstrated experience in conducting data analysis and utilizing analytic/visualization tools to drive decision-making.Technical Skills: Advanced SQL skills are a must; proficiency in Python or R (Web Scraping, ML, NLP) is a plus.BI Tools: Experience with Business Intelligence tools such as Looker, Tableau, or Power BI is a plus.Communication: Strong communication skills with the ability to transform numbers into compelling stories.Independence: Ability to work independently in a fast-paced environment with minimal guidance.

為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！ Key Responsibilities for Data Analyst: Responsible for gathering data from various sources, including internal databases, user interactions third-party APIs, ensuring data accuracy and integrity.Perform exploratory and statistical analysis to identify trends, patterns, and correlations in large datasets.Create clear, compelling reports and dashboards to communicate insights of the product to stakeholders.Work closely with product and engineering teams to define key performance indicators (KPIs) and track product performance.Provide recommendations to improve software features, user engagement, and operational efficiency based on data findings.Implement processes to ensure data quality, consistency, and security, adhering to company policies and regulations.Conduct custom analyses to support strategic initiatives or respond to business questions.