Executive, Data Operations

CTOS; Petaling Jaya; On-site; MYR 40,000 - 60,000; Full time

Job summary

A leading digital credit solutions provider in Petaling Jaya is seeking an Executive for Data Operations to manage and improve data processes. The ideal candidate will have a background in computer science and experience in data operations, focusing on ensuring data accuracy and automation. You will work with cross-functional teams to support timely data delivery, adhere to SLAs, and document processes. This role requires strong Python skills and attention to detail.

Qualifications

• 1–3 years of experience in a data operations or similar role.
• Strong attention to detail and commitment to data accuracy.
• Ability to follow and manage SLAs for task completion and data delivery.

Responsibilities

• Perform data scrubbing and extraction for high-quality data.
• Support and improve ETL processes.
• Document data workflows and automation scripts.

Skills

Python scripting

Data scrubbing and formatting

SQL querying

Automation tools

Education

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

Tools

ETL tools

AWS (S3, Lambda, Glue, EC2, EMR)

Job description

CTOS Digital is a key player in ASEAN credit reporting landscape, enabling digital credit solutions through strategic investment and innovation. We empower individual and business with the confident to make sound credit decision through access to data and insights at greater ease and speed.

Are you detail-oriented and passionate about ensuring data accuracy and reliability?

We are looking for a proactive Executive, Data Operations to support the day-to-day management of data processes, including extraction, scrubbing, validation, and automation. This role plays a vital part in ensuring timely, high-quality, and reliable data delivery in line with service-level agreements.

You will collaborate with cross-functional teams to design efficient processes, resolve data inconsistencies, and maintain robust data quality—ultimately supporting accurate credit scoring and informed business decisions. If you thrive in a fast-paced, data-driven environment, we’d love to hear from you.

Here's How You Will Add Value

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 you'll need to succeed:

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.