data developer/engineer in Hong Kong

posted
contact
victor tsang, randstad hong kong
job type
permanent
salary
HK$ 30,000 - HK$ 40,000 per month

job details

posted
location
hong kong
specialism
information technology
job type
permanent
working hours
Full-Time
salary
HK$ 30,000 - HK$ 40,000 per month
reference number
91M0154056_1619651185
contact
victor tsang, randstad hong kong
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job description

Our client, a data-driven technology firm as an industry leader is looking for a Data Developer/Engineer to join their IT team. Great opportunity for candidates who want to have more experience in data-driven projects.

Responsibilities:

  • Perform data extraction to fulfill marketing programs' requirement
  • Support client for enquiries about our advanced solutions (i.e. imagine/detect the root cause of a problem and solve it) with the help of product experts in Shanghai and Paris (France).
  • Provide maintenance support for customers’ information systems (occasional visits to customer’s office in Hong Kong Island).
  • Compile regular and customized reports related to business performance, service usage and customer analysis
  • Apply statistical modeling to identify business opportunities and areas for improvement
Requirements:
  • Master/Bachelor’s degree in Computer Engineering/Science or Information Systems
  • 3-5 years of experience in data engineering, BI tools, and relational databases (especially SQL).
  • Familiar with BI tools like Power BI/Grafana (setup and usage).
  • Practical experience in working with BI visualization tools (e.g. Qlik View, Qlik Sense, Tableau) is an advantage
  • Technical knowledge of difference server operating systems is preferred
Are you up for the challenge? Click on Apply Now or send your updated CV to victor.tsang@randstad.com.hk

skills

no additional skills required

qualification

no additional qualifications required

responsibilities

This client is looking for a strong Data analyst profile. He / She will be covering but not limited to business data collection, preparation and setup of the data analytics platform, assist in designing and building robust data analytics architecture, and setting up related standards and data pipelines.

educational requirements

Bachelor Degree