Data Analyst
2 weeks ago
Interpret sets of data and transform them into useful information to improvise the overall status of an entity. This includes the collection of information from different reliable sources and interpret that information based on patterns and trends. Then display it as informative visual. In short, it involves the entire Extraction > Transform > Load (ETL) processes.
**Responsibility**:
1. This includes the following responsibilities:Collect and interpret data.
- Analyze the result based on data obtained.
- Reporting the result(s) to important stakeholders.
- Identify patterns and trends.
- Work closely with team members to provide the business needs.
- Define new data collection processes - when needed.
- Remove corrupted data / rubbish data (cleansing).
- Prepare and produce a report based on analysis.
2. Actively participate in managing the project plans and documentation, and execution of implementation to enable the project to be implemented and developed towards a clear set of defined deliverables and milestones for single or multi-projects.This includes providing regular updates to team lead and management on the progress of the respective project(s).
3. Provide documentation for data requirements, data collection/processing/cleaning, and exploratory data analysis; which may include statistical models/algorithms and data visualization techniques. Also support and develop scalable and automated tools for various tracking and reporting processes using SQL, BI tools, Excel/Google Sheet, Python, and other programs.
4. Work closely with the project team (external & internal) throughout the implementation (such as initiate project kick-off, detailing of user requirements, participate in ETL processes, analyse data from different sources using ranging of techniques from simple data aggregation to complex data mining, testing to derive actionable intelligence, training, commissioning, etc.) and delivery of solutions to ensure successful implementation, providing input and business requirements.
**Who we are looking for**:
1. Minimum Diploma in Computer Science or Information Technology or Statistics or Mathematics Engineering or Actuarial Science or equivalent is required.
2. Diploma Holder: Minimum of 3 years of combined working experience in Big Data Analytic project implementation and/or Big Data Analytic operations.
3. Degree Holder and above: Minimum of 1 year of combined working experience in Big Data Analytic project implementation and/or Big Data Analytic operations.
4. Good knowledge in project methodology such as Agile.
5. Good knowledge and experience in collecting user requirements, data analysis, documenting technical specifications, understand core data characteristics
6. Good knowledge and experience in database methodology, data analysis, and reporting technologies
7. Good knowledge and experience in relational and dimensional data modelling.
8. Good knowledge and experience of database management system (DBMS) including tables, joins and SQL query
9. Good knowledge in cloud-native technologies, common databases such as MS SQL, MySQL, Mongo DB, and common programming languages such as Python, SQL, and VBA.
10. Good knowledge in all four (4) Cloud Providers endorsed by Malaysian Government: AWS, Google, Azure and TM.
11. Should be analytical, strong problem solvers, logical thinking, diplomacy, ability to multi-task, good team work and good in both writing and verbal communications.
**Salary**: RM2,200.00 - RM4,000.00 per month
**Benefits**:
- Additional leave
- Gym membership
- Health insurance
- Maternity leave
- Opportunities for promotion
- Parental leave
- Professional development
Schedule:
- Monday to Friday
Ability to commute/relocate:
- Shah Alam: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Diploma/Advanced Diploma (preferred)
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