From day one, we’ve been guided by the belief that home security should be made accessible to everyone. We started out by offering a software solution that turns your old phone into a security camera in 2014. Since then, this simple but powerful idea has become the go-to security app for more than 70 millions families worldwide.
In 2022, we launched our first hardware product, AlfredCam, which opened up an exciting new chapter for us. And 2023 is going to be an even more exhilarating year, as we are taking more proactive actions to respond to our consumers and expanding our presence in more countries. If you want to be a game changer for one of the most trusted brands worldwide, we have the right opportunity for you!
▍About this role
We are thrilled that you have expressed interest in joining our team and embarking on a journey in the exciting field of Data Analysis.We have prepared a comprehensive job description for this position to ensure that you have all the information you need to present yourself in the best possible light during the recruitment process. Our team is also available to answer any questions you may have about the position, so don't hesitate to reach out at any time.
Our company expands its strategy and business in 2023, the number of teams is set to increase, with the need to manage three squads and handle various routine and operational tasks such as data analysis and user exploration. However, the current Data team of only three members is experiencing a shortage of human resources. Therefore, to address this gap, we have decided to hire a Senior Data Analyst.As a member of our team, you will work alongside a group of dedicated and skilled professionals who are committed to advancing the field of data analysis.
This role will require you to be detail-oriented, analytical, and passionate about using data to drive insights and inform business decisions. You will be responsible for analyzing large sets of data, developing reports, and presenting findings to various stakeholders.
If you are looking for an exciting and challenging role where you can make a real impact, we encourage you to apply for this position.
Data Analyst in Alfred System
At Alfred, we hold a deep appreciation for objective management and data-driven decision making. Our goal is to be a visionary company that derives value from data, fostering a culture of excitement and energy in analytics and agile analytics that benefits every data consumer in our organization.
As a Data Analyst, you will play a crucial role in creating a culture where data is accessible and actionable for everyone in the organization. Your mission is to work alongside the product managers, analysts, and other squad members to explore all possibilities through data. Our team is part of the product department and we collaborate with excellent partners in machine learning, data engineering, user research, iOS/Android/server development, and quality assurance to bring the best product to market that serves to "Bring Peace of Mind to Everyone in The World".
You will be responsible for validating, processing, and exploring multiple sources of data, including user behavior, surveys, text feedback, and server-side activity. In addition, we will leverage statistical methods and machine learning techniques to determine the optimal study design and measure the causal effect of the product and business.
▍進一步認識此職位 - Medium
AlfredCamera（阿福管家） 是北美最受歡迎的居家安全監控軟體，全球已累積7000萬用戶下載，並分別於 2016 年與 2019 年獲得 Google Play 年度最創新 App 與年度最佳生活幫手 App 的殊榮。
上架至今， AlfredCamera 已經在 Android/iOS 雙平台上獲得超過 80 萬筆、平均 4.8 顆星的高評價。短短數年內 AlfredCamera 已經達到正向現金流，在已實證的商業模式下穩健發展，並持續投入 AI 研發。
2022年阿福管家跨入硬體領域，推出專屬硬體 AlfredCam 於美國開賣，硬體預購吸引逾 2.5 萬人次湧入 APP 內搶購， 8 分鐘不到便搶購一空。
我們期許透過與硬體與既有軟體服務整合，強化既有的商業模式。透過智慧手機及 APP 的普及，於全球快速累積龐大用戶基數，再依據顧客不同階段的需求提供專用硬體，升級居家安全體驗。
在新創圈每年流行一個新的 buzzword 時， AlfredCamera 從使用者出發，專注在「推出解決大眾生活問題的普及化 AI 應用」，我們相信科技應該讓人們生活得更好。在這個理念之下，我們推出 AlfredCamera 幫助使用者將舊手機變成唾手可得的監控攝影機。 AlfredCamera 看起來樸實，卻需要堅實的技術實力讓 AI 偵測流暢運行於各種機型；我們沒有酷炫的硬體，卻是真正讓使用者隨手取得的好體驗。為了達成更大的目標，我們需要這樣的人才：
產品從使用者需求出發，公司有 ⅓ 的職位與使用者直接相關，從 Research、Content、User Feedback、User Data 四大方面積極用主動、被動的方式取得質化、量化的使用者資料。在公司內的產品規劃會議中，我們一定會問的問題是「用戶在想什麼？遇到了什麼問題？」，並且透過研究描繪主要用戶輪廓，以此協助大家進行決策和規劃。