Data Modelling Analyst
2 days ago
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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