Digital Analytics Consultant - Taiwan

Taipei, Taipei City, Taiwan

Fifty-Five

fifty-five helps brands leverage data and technology to craft future-proof experiences.

View all jobs at Fifty-Five

Apply now Apply later

Part of The Brandtech Group, fifty-five is a data consultancy helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer experience.

Headquartered in Paris with offices in London, New York City, Hong Kong, Taipei, Shenzhen, Shanghai and Singapore, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise. We’ve been working with brands to help them thrive in a multi-channel, digitized world since 2010, through the strategic use of data and marketing technologies, and the astute coordination of their partner ecosystems.

As a Digital Analytics Consultant, you will report to the Project Lead and follow an action plan to deliver various project outputs, ensuring the quality of web analytics data and its accurate interpretation during client sessions. You will be responsible for the content, format, and overall quality of deliverables while monitoring their operational and technical implementation. Understanding customer needs, you will articulate the business value of projects alongside technical considerations, all while respecting deadlines. Your expertise in cloud environments and digital analytics solutions will be essential, as you collaborate with clients and internal teams to align technical architecture with business objectives.

  • Design and implement data architectures and pipelines for cloud and digital analytics projects.
  • Deliver hands-on technical services including cloud migration, data transformation, data warehousing, data visualization, and advanced data analytics.
  • Set up CI/CD pipelines and deployment workflows to ensure seamless integration of cloud infrastructure and data pipelines across environments.
  • Streamline and automate processes to enhance the efficiency and cost-effectiveness of the digital analytics platform.
  • Collaborate with clients to develop digital strategies, monitor digital behavior through key performance indicators, and optimize onsite conversions and online media buying.
  • Develop expertise in conversion optimization and online media buying topics to meet client needs effectively.
  • Utilize cloud platforms such as GCP, AWS, and Azure to conduct in-depth data analysis and generate actionable insights.
  • Use data visualization to create and maintain interactive dashboards that effectively communicate data-driven insights to stakeholders.
  • Work with client teams to design the technical architecture for marketing tool ecosystems to implement new consumer experience and marketing use cases.
  • 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

  • University degree in Computer Science, Information Systems, Engineering, or a related discipline. A Master's degree from a top-tier university is a plus.
  • At least 1 year of hands-on experience in cloud data platforms (AWS, Azure, GCP).
  • 1-3 years of experience in web analytics and tag management systems (GTM, DTM/Adobe Launch, Tealium IQ).
  • Experience in consulting firms or digital/media agencies is preferred.
  • Solid project delivery experience in an international context with both business and technology stakeholders.
  • Proficiency in microservices and API development using Java and Python.
  • Knowledge and experience in Big Data, Data Science, and Cloud technologies.
  • Familiarity with website and application development, tracking, and version control.
  • Understanding of DevOps practices, containerization, and Agile methodologies.
  • Fluent in spoken and written English and Mandarin.
  • Excellent communication skills with the ability to present and translate complex technical concepts into layman’s terms.
  • Self-motivated, organized, and possessing strong problem-solving skills.
  • Strong analytical mindset and a demonstrated ability to manage projects effectively.
  • A team player with a strong interest in new technologies and innovation trends.
  • Professional cloud certification holder (GCP, AWS, Azure) is highly desirable.

Benefits

  • Exposure to cloud automation, marketing platforms, and media data analytics projects
  • Opportunity to work with our global consulting and engineering teams to engage our clients from diverse industries around the world
  • 20 days Annual Leave
  • 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 centered 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. 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.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: Agile API Development APIs Architecture AWS Azure Big Data CI/CD Computer Science Consulting CX Data analysis Data Analytics Data pipelines Data visualization Data Warehousing DevOps Engineering GCP Java Machine Learning Microservices Pipelines Privacy Python

Perks/benefits: Career development Health care

Region: Asia/Pacific
Country: Taiwan

More jobs like this