Job Description
Senior / Junior) System Analyst / Business Analyst (30K-60K)
Analyst Programmer / Programmer / UAT
Responsibilities
Participate in software development and system analysis and design
Designing, coding, system support, testing and applications implementation
Prepare technical documentation on system design
Business analysis and design, user training support
Senior / Junior) Data Analyst / Fresh consider
Perform data mining, analyse large amount of data using statistical techniques and create analytics solutions.
Gather and consolidate data analytics requirements for B2B project and align with Council’s data architecture.
Design and develop solutions for data analytics projects according to business requirements.
Use visualization tools to design and build dynamic dashboards and reports.
Manage and participate in data analytic project initiatives, including but not limited to data schema design, ETL design and development, data presentation and visualization.
Keep abreast of data analytics trends and propose the use of latest data tools / cloud services.
Job Requirement :
Senior / Junior) System Analyst / Business Analyst (30K-60K)
Analyst Programmer / Programmer / UAT
Requirements
Diploma or Degree in Computer Science, information System or related disciplines
1 year or above experience in Software Development / IT projects
Solid programming experience in Java or .Net or PHP or Python for System Analyst / Analyst Programmer / Programmer. Knowledge in AWS cloud / Angular / Node.
js / React.js are advantages.
Solid experience in Mobile Applications (iOS / Android) will consider as Mobile Developer
Solid experience in Quality assurance / UAT will consider as QA Specialist
Solid experience in business analysis or project co-ordination will consider as Business Analyst or Project Officer. Experience in bank / finance is advantage.
Fresh graduate will also be considered as Trainee with training
More experience will be considered as senior position
Senior / Junior) Data Analyst / Fresh consider
Requirements :
Degree or equivalent qualification in Computer Science, Statistics, Information Management or related disciplines.
Good command of querying databases and using statistical computer languages : SAS, Python, R and SQL, etc.
Familiar with visualization tool, e.g. Tableau, Google Data Studio, Adobe Analytics.
Experience in machine learning models would be an added advantage.
Experience in data analytics technologies would be an added advantage, e.g. AWS Redshift, Athena, S3, Glue, Lambda, Kinesis. 
