Data Modelling Analyst

2 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia Kamlax Global Technologies Full time 100,000 - 120,000 per year


We're Hiring: Data Modelling Analyst

Kuala Lumpur

Looking for candidates with 6+ years' experience

Open to local & locally available expats

A leading organization in the investment & financial services industry
is undergoing a major digital and data transformation. We are looking for an experienced
Data Modelling Analyst
to join the project team and support the design and development of enterprise-level data models and architecture.

Key Responsibilities

  • Design & develop
    conceptual, logical and physical data models
    across RDBMS, ODS, Data Lake & Data Mart platforms
  • Build and document
    data architecture
    solutions using relational, dimensional & NoSQL databases
  • Translate business requirements into scalable data models for analytics, BI, and digital systems
  • Perform impact assessments, normalize data, and ensure data accuracy & integrity
  • Collaborate with BI/Data Engineers to enhance Data Lake/Data Mart environments
  • Oversee data architecture expansions & optimize query performance
  • Produce mapping documents and support defect analysis & fixes
  • Manage documentation, reporting, and data warehouse administration tasks

What We're Looking For

  • 3+ years experience
    with cloud platforms (Azure/GCP/AWS) and cloud databases (Synapse, Databricks, Snowflake, Redshift)
  • Strong hands-on experience with
    DBT, SQL, PySpark, Python
    , and API/file/stream integrations
  • Skilled in
    data modelling tools
    , SQL development, stored procedures & data warehousing concepts
  • Experience with
    Power BI, Qlik, Tableau, MicroStrategy
  • Understanding of normalization (1NF–BCNF) & BI/data engineering workflows
  • Experience in Agile/Scrum environments
  • Strong analytical, communication & documentation skills

Education & Advantageous Skills

  • Bachelor/Master's in Computer Science, IT, Engineering, Mathematics or related fields
  • Experience in
    financial services / investment domain
    is a strong advantage
  • Knowledge of cloud database solutions and market/investment data is a plus


To apply, please send your CV to

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