Working Hour
Regular Hours
Monday - Friday
Business Area
Strategy & Analytics
Location
Malaysia - Kuala Lumpur
Working Hour
Regular Hours
Monday - Friday
Location
Malaysia - Kuala Lumpur
Business Area
Strategy & Analytics
Description

  • Analyze and interpret complex data, transforming it into actionable insights that can drive informed decision-making within organization. 
  • Involves in schema and architecture design, developing data pipelines, ensuring data quality, and using effective tools to extract meaningful patterns and trends from large datasets. 

  • Clearly communicate technical concepts and data insights to both technical and non-technical audiences, provide valuable information that helps to improve business strategies and outcomes.


  • Data Analysis: Analyzing large datasets to conduct in-depth data analysis to extract and derive meaningful insights and trends. 
  • Data Visualization: Creating clear and effective visualizations to communicate insights with business teams. 

  • Create metadata for datasets to facilitate data discovery and understanding by users. 

  • Collaborate with business teams or management teams to establish business needs by recommending solutions and delivering insights to increase productivity. 

  • Coordinate with cross-functional teams and stakeholders to understand business requirements, design and implement data products, and monitor outcomes to provide additional value to the organization. 

  • Develop and implement strategies to enhance data reliability and source ability. 

 

Requirements

Bachelor Degree - Bachelor degree or above in Computer Science, Economics, Finance, Mathematics, Statistics or equivalent.

 

Preferred level of Experience (by years/function/industry): 

  • A min. of 0-3 years experience (banking & insurance experience is a plus) 

  • Knowledge of relational databases and a good command of SQL 

  • Understanding of basic data pipeline design, including data extraction, transformation, and loading processes. 

  • Strong analytical and problem-solving skills.

 

Other skills required: 

  • Proficiency in programming languages: SAS, Python, SQL etc. 

  • Big Data Technologies: Hands-on experience with Hadoop, Spark or similar technologies for large-scale data processing. 

  • Data Quality and Testing: Understanding of data quality checks, monitoring, and testing procedures. 

  • Basic knowledge of data visualization tools (e.g. Tableau, Power BI). 

  • Understanding of statistical analysis, machine learning concepts, modeling conceptual ideas and database management. 

Benefits

Dental, Education support, Miscellaneous allowance, Medical, Loans, Sports (e.g. Gym), Parking, Vision, Regular hours, Mondays - Fridays, Casual Business Wear, Performance Based Rewards