FIFTY-FIVE TAIWAN_台灣五什五數據信息技術有限公司

公司介紹

產業類別

聯絡人

吳先生

產業描述

行銷數據顧問服務業

電話

暫不提供

資本額

傳真

暫不提供

員工人數

300人

地址

台北市中正區重慶南路一段119號


作為品牌科技集團的一部分,fifty-five 是一家數據諮詢公司,幫助品牌在付費、獲得和擁有的渠道中收集、分析和激活數據,以提高市場營銷的投資回報率並改善客戶體驗。 fifty-five 總部位於巴黎,並在倫敦、紐約市、香港、台北、深圳、上海和新加坡設有辦事處。該數據公司因其獨特的技術方法結合了人才、軟件和服務專業知識而被德勤評選為歐洲增長最快的科技公司之一。自 2010 年以來,我們一直與品牌合作,通過戰略性地利用數據和市場營銷技術,以及精明協調其合作夥伴生態系統,幫助他們在多渠道的數位世界中蓬勃發展。

顯示全部

主要商品 / 服務項目

數據驅動下的行銷策略 以深厚的科技、媒介和數據專業知識為依托,我們為客戶提供策略性建議,審議媒介策略,預測商機,設計既能保護隱私又能符合 GDPR 規定的數據策略。我們還為客戶定制特別項目,充分利用公司內部能力、技術、數據和創新。 55 也幫助客戶建立透明的廣告效果監測規範,並指導他們使用其第一方數據,制定更加有效的成長策略。55 數據公司給客戶帶來最先進的廣告技術解決方案,並為希望對自身媒介運營進行監管的品牌提供支持和培訓。 Leveraging deep expertise in technology, media, and data, we provide clients with strategic advice, review media strategies, forecast business opportunities, and design data strategies that protect privacy while complying with GDPR regulations. We also customize special projects for clients, fully utilizing internal capabilities, technologies, data, and innovations. fifty-five also helps clients establish transparent advertising performance monitoring standards and guides them in using their first-party data to develop more effective growth strategies. Fifty-five provides clients with cutting-edge advertising technology solutions and offers support and training for brands looking to regulate their own media operations.

顯示全部

公司環境照片(3張)

工作機會

廠商排序
4/24
台北市中正區2年以上大學以上待遇面議
1. Design and implement data architectures and pipelines for cloud and digital analytics projects. 2. Deliver hands-on technical services including cloud migration, data transformation, data warehousing, data visualization, and advanced data analytics. 3. Set up CI/CD pipelines and deployment workflows to ensure seamless integration of cloud infrastructure and data pipelines across environments. 4. Streamline and automate processes to enhance the efficiency and cost-effectiveness of the digital analytics platform. 5. Collaborate with clients to develop digital strategies, monitor digital behavior through key performance indicators, and optimize onsite conversions and online media buying. 6. Develop expertise in conversion optimization and online media buying topics to meet client needs effectively. 7. Utilize cloud platforms such as GCP, AWS, and Azure to conduct in-depth data analysis and generate actionable insights. 8. Use data visualization to create and maintain interactive dashboards that effectively communicate data-driven insights to stakeholders. 9. Work with client teams to design the technical architecture for marketing tool ecosystems to implement new consumer experience and marketing use cases. 10. Collaborate with Data Science and Engineering teams to scope typical machine learning and AI project requirements and communicate technical deliverables in an understandable manner for clients and stakeholders. Work with the Global Engineering team to develop and execute proofs of concept for cloud and data projects, showcasing solutions that meet customer needs. Requirements 1. University degree in Computer Science, Information Systems, Engineering, or a related discipline. A Master's degree from a top-tier university is a plus. 2. At least 1 year of hands-on experience in cloud data platforms (AWS, Azure, GCP). 3. 1-3 years of experience in web analytics and tag management systems. 4. Experience in consulting firms or digital/media agencies is preferred. 5. Solid project delivery experience in an international context with both business and technology stakeholders. 6. Proficiency in microservices and API development using Java and Python. 7. Knowledge and experience in Big Data, Data Science, and Cloud technologies. 8. Familiarity with website and application development, tracking, and version control. 9. Understanding of DevOps practices, containerization, and Agile methodologies. 10. Fluent in spoken and written English and Mandarin. 11. Excellent communication skills with the ability to present and translate complex technical concepts into layman’s terms. 12. Self-motivated, organized, and possessing strong problem-solving skills. 13. Strong analytical mindset and a demonstrated ability to manage projects effectively. 14. A team player with a strong interest in new technologies and innovation trends. 15. Professional cloud certification holder (GCP, AWS, Azure) is highly desirable. Benefits 1. 20 days Annual Leave 2. Work remotely (Maximum 2 days a week) 3. Regular team activities including TGIF, team lunch and Off-site! 4. Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, ongoing training sessions, etc.) The opportunity of taking part in internal projects such as The Data Hive ("tech for good” project initiated by fifty-fivers, whose aim is to put knowledge and expertise at the disposal of charitable organisations) or Women@55 (a committee with the aim of discussing gender equality and the role of women in consulting, Tech and at fifty-five). fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion. Fifty-Five collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.
應徵
智能客服
您好,我是您的智能客服 找頭鹿有任何問題都可以問我喔!