Executive, Data Analytics

CTOS; Selangor; On-site; MYR 60,000 - 90,000; Full time

Job summary

CTOS, a leader in credit solutions in ASEAN, is seeking an Executive for Data Analytics. The role involves interpreting credit scores, optimizing data strategies, and collaborating to ensure compliance and data integrity. Ideal candidates will have a strong analytical background with proficiency in SQL and data visualization tools, along with the ability to present complex findings clearly.

Qualifications

• 4+ years experience in data analysis, preferably within financial services.
• Expertise in SQL, Excel, and data visualization tools.
• Strong analytical skills and ability to communicate findings.

Responsibilities

• Interpret credit bureau scores and trends to support risk assessment.
• Collaborate to develop, implement, and optimize data strategies.
• Conduct rigorous testing and validation of data quality.

Skills

Data Analysis

SQL

Excel

Data Visualization

Statistical Analysis

Communication

Education

Diploma or Bachelor’s degree in Data Science, Analytics and/or Big Data

Tools

Tableau

Power BI

Phyton

R

SAS

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 driven by data and inspired by the power of insights? We are seeking a highly analytical and detail-oriented Executive, Data Analytics to join our team. This role plays a critical part in supporting credit assessment and rating decisions by analyzing data, interpreting risk scores, and optimizing data strategies. You will also contribute to automating data workflows, ensuring data integrity, and maintaining compliance with regulatory requirements.

If you’re excited about turning data into meaningful action and influencing key business outcomes, we’d love to hear from you.

Here's How You Will Add Value:

Score Interpretation & Application

• Interpret credit bureau scores and translate their implications for creditworthiness, probability of default, and loss given default
• Interpret trends, anomalies, and patterns in data to support risk assessment and forecasting.

Data Strategy, Development & Optimization

• Collaborate with sales, product teams, and leadership to develop, implement, and refine data strategies based on insights across business use cases.
• Build and maintain dashboards, scorecards, and automated reporting tools

Validation & Testing

• Conduct hamonization works, rigorous testing and validation of data qualiy, accuracy, and effectiveness of derived metrics.
• Document data sources, processes, and analytical methodologies clearly and comprehensively.
• Ensure compliance with internal data governance and quality standards.

What you'll need to succeed:

Qualifications

• Diploma or Bachelor’s degree in Data Science, Analytics and/or Big Data

Work Experience

• 4+ years experience in data analysis, preferably within financial services, credit rating, investment research or business information providers

Knowledge, Skills & Competencies

• Able to read and understand financial statements, credit metrics and market instruments
• Proficient in SQL and Excel for data extraction and manipulation
• Proficient with data visualization tools (Tableau, Power BI)
• Working knowledge of statistical software languages (Phyton, R, or SAS)
• Strong analytical skills, hands-on experience with financial and economic data sets
• Strong communication skills to present complex findings clearly