Lead Data Analyst: Predictive Analytics & Dashboards

CACEIS; Malaysia; On-site; MYR 120,000 - 180,000; Part time

Benefits offered by this job

Total rewards program

Leadership development and training

Job summary

CACEIS Malaysia is building a predictive analytics capability to proactively manage operational errors across its asset servicing activities. This hybrid data role consolidates fragmented data, designs pipelines and develops models linking error patterns to drivers like capacity and platform performance.

The role focuses on data preparation, analytics support, and maintaining operational reports, dashboards and documentation to strengthen operational resilience.

Qualifications

• 6–10 years of experience in data analytics or data engineering.
• Proven ability to design and maintain data pipelines and dashboards.
• Experience applying predictive analytics to business data.
• Strong SQL, Python, and data visualization skills.

Responsibilities

• Collect, consolidate and prepare operational data from multiple sources.
• Build and maintain data pipelines, dashboards and analytics solutions.
• Support predictive modelling activities and validation of outputs.
• Produce recurring management reports and ad-hoc requests.
• Collaborate with Operations, Technology and Business teams to understand data needs.

Skills

SQL

Python

Power BI

Excel

Data visualization

Data modelling

Communication

Stakeholder management

Problem structuring

Education

Bachelor degree in data science/CS/IT/Statistics/Math/Engineering/Finance analytics

Tools

Power BI

Tableau

SQL-based data warehousing

Job description

CACEIS Malaysia is building a predictive analytics capability to proactively manage operational errors across its asset servicing activities. This hybrid data role consolidates fragmented data, designs pipelines and develops models linking error patterns to drivers like capacity and platform performance.

The role focuses on data preparation, analytics support, and maintaining operational reports, dashboards and documentation to strengthen operational resilience.