Senior Digital Analytics Consultant - Taiwan

• Work with 55 Data Science and Engineering teams to scope and check typical machine learning and AI project requirements.
• Work with 55 Engineering team to communicate engineering or technical deliverables in ways that clients and stakeholders across disciplines can understand.

Education & Experience

• Master's degree (business, engineering) or equivalent diploma from a top tier university
• 2+ years experience in consulting firms or digital/media agency.
• Solid experience in project management in an international context with both business and technology stakeholders

Skills & Interests

• Excellent communication skills, both oral and written, in English and Mandarin (Native).
• 2-4 years of experience in webanalytics and Tag management.
• Solid experience with Tag management system (GTM, DTM/Adobe Launch, Tealium IQ, Javascript, etc...)
• Strong analytical mindset, proven project management and problem-solving skills.
• Team player and demonstrated project management skills.
• Strong interest in new technologies and innovation trends in general.

Benefit

• 20 days Annual Leaves
• Work remotely (Maximum 2 days a week Work From Home policy)
• Regular team activities including TGIF, team lunch and Off-site!
• A multicultural environment with employees from over 20 countries
• Values centred on excellence, caring and sharing
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.)
• Particular importance given to work-life balance and the right to disconnect

The opportunity of taking part in internal projects such as The Data Hive (a “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.