Lead Data Analyst - Predictive Analytics & Dashboards

CACEIS-Gruppe

Putrajaya

Hybrid

MYR 120,000 - 180,000

Full time

14 days+
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Job summary

CACEIS Malaysia is seeking a hybrid Data Analytics professional to consolidate fragmented data, build structured data pipelines, and develop predictive models to reduce errors and strengthen operational resilience. You will work with Operations, Technology and Finance to deliver data-driven insights.

The role emphasizes data preparation, modeling support, and the creation of dashboards and reports, with collaboration across global teams and a focus on scalable analytics solutions.

Qualifications

  • Bachelor's degree in data science or related discipline.
  • Strong SQL and data visualization tool knowledge (Power BI/Tableau).
  • Proficiency in Python for data analysis and automation.
  • Experience designing, building, and maintaining data pipelines and dashboards.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Collect, consolidate and prepare operational data from multiple sources.
  • Perform data cleansing and validation for quality and consistency.
  • Support structured datasets for reporting and analytics.
  • Develop and maintain operational reports and dashboards.
  • Collaborate with Operations, Technology and Business teams to define data requirements.
  • Contribute to process improvement and automation initiatives.

Skills

Analytical thinking
Problem solving
Communication
Stakeholder management
Teamwork

Education

Bachelor's degree in data science / CS / IT

Tools

SQL
Power BI
Excel
Tableau
Python

Job description

CACEIS Malaysia is seeking a hybrid Data Analytics professional to consolidate fragmented data, build structured data pipelines, and develop predictive models to reduce errors and strengthen operational resilience. You will work with Operations, Technology and Finance to deliver data-driven insights.

The role emphasizes data preparation, modeling support, and the creation of dashboards and reports, with collaboration across global teams and a focus on scalable analytics solutions.

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