We are Malaysia’s leading Credit Reporting Agency (CRA) and we are aggressively expanding our business, and looking for dynamic, driven and motivated individuals to join our team. Our Direct-To-Consumer segment (D2C), is one of our fastest growing product areas in the market, with an abundance of expansion plans and innovative ideas on hand.

ROLE OVERVIEW

This role is responsible for supporting day-to-day data operations including data extraction, scrubbing, validation, and automation to ensure high-quality and reliable data delivery. The role involves close collaboration with cross-functional teams, and adherence to service-level agreements to support timely data-driven operations. This role ensures accurate and reliable credit data by designing efficient processes, resolving inconsistencies, and maintaining high data quality to support robust credit scoring and informed business decisions

KEY RESPONSIBILITIES

Technical & Data Operations

· Perform data scrubbing and extraction to ensure high-quality, accurate, and reliable data.

· Extract data from internal and external sources using automated scripts or manual processes.

· Support and improve Extract, Transform, Load (ETL) processes.

· Write Python scripts to automate routine data operations and validations.

· (Optional) Work with AWS services such as S3, Lambda, Glue, EC2, or EMR to manage data operations in the cloud environment.

Process Management & SLA Adherence

· Monitor and adhere to Service Level Agreements (SLAs) for data operations tasks.

· Identify and troubleshoot data quality issues proactively.

· Collaborate with cross-functional teams to gather data requirements and ensure timely delivery.

Documentation & Knowledge Management

· Document data workflows, automation scripts, and issue resolutions for future reference and process continuity.

WHAT DOES IT TAKE TO BE SUCCESSFUL

Qualifications

· Bachelor’s Degree in Computer Science, Information Technology, Data Science, or a related field.

Work Experience

· 1–3 years of experience in a data operations or similar role.

Skills & Competencies

· Strong knowledge of Python for scripting and automation.

· Solid understanding of data scrubbing, formatting, and standardization techniques.

· Experience with data extraction from databases, APIs, or flat files.

· Understanding of SQL for querying and validating data.

· Familiarity with automation tools such as Airflow, cron jobs, or custom Python scripts.

· Ability to follow and manage SLAs for task completion and data delivery.

Attributes

· Strong attention to detail and commitment to data accuracy.

· Problem-solving mindset and ability to work independently.

· Excellent communication and time-management skills.

· Ability to work in a fast-paced, SLA-driven environment.

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