Careers

Combined with a flat and team-oriented organisation structure, we provide a stimulating and cooperative working environment for you to excel. With Innovation for Life as our tagline.

Combined with a flat and team-oriented organisation structure, we provide a stimulating and cooperative working environment for you to excel. With Innovation for Life as our tagline, we also reward our employees for submitting inventions, through various schemes, including cash rewards. We look forward to sharing our successes together. If you are keen to explore too, send us your resume .

Data Analyst


Job Requirements:

  • Candidates must possess at least Bachelor Degree in mathematics, Economics, Computer Science, Information Management or Statistics.
  • 3-5 years’ experience in data analysis preferably in Manufacturing Sector.
  • Proven working experience as data analyst or business data analyst.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of statistics and experience using statistical packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
  • Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
  • Experience in handling large data sets and relational databases.

Job Descriptions:

  • Collecting, interpreting and analyzing data with statistical methodology and provide ongoing reports to conduct quality improvement activity.
  • Identify and correct problems in data sets, including imported data
  • Identify data solutions and opportunities to leverage data to grow the business.
  • Define new process improvement opportunities.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Work with management to prioritize business and information needs.
  • Acquire data sources and maintain databases/data systems.
  • Developing and generating reports across multiple systems for multiple departments that identify trends that can be applied to business growth.
  • Supporting initiatives for data integrity and normalization.
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