Direct message the job poster from Net2Source (N2S) Responsibilities
Collaborate with the Data Engineer and Data Modeller to understand data sources, transformation logic, and business requirements for the project Develop conceptual, logical, and physical data models aligned with the project’s data architecture, ensuring consistency across bronze and gold layers Document and maintain metadata, including data dictionaries, field definitions, business rules, and transformation mappings, within Data Hub or other metadata management tools. Analyse source-to-target data mapping to ensure accuracy and completeness of transformation logic. Work with stakeholders to capture business definitions, KPIs, and data usage requirements. Conduct data profiling and quality analysis to identify gaps, inconsistencies, and anomalies Partner with data governance teams to ensure compliance with data privacy, anonymization, and classification standards Support testing and validation of transformed datasets to ensure they meet business and technical specifications Provide ongoing updates and clear documentation to ensure transparency across the project lifecycle Qualifications
Proven experience in data analysis, data modelling, and metadata management. Strong ability to create ER diagrams, star / snowflake schemas, and dimensional models. Proficient in metadata documentation using tools such as Data Hub, Collibra, or Alation. Solid understanding of data warehousing concepts and data lakehouse architectures. Experience in source-to-target mapping and documenting transformation logic. Knowledge of data governance and compliance best practices. Strong SQL skills for data analysis and validation. Excellent communication skills to bridge technical and business requirements Familiarity with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Databricks environments. Experience in business glossary creation and data lineage documentation. Exposure to ETL testing and validation processes. Understanding of BI tools (e.g., Power BI, Tableau) for data consumption Experience in data modeling data solutions including but not limited to Erwin Data modeler data Warehouse or equivalent knowledge. Position details
Seniority level : Associate Employment type : Contract Job function : Information Technology Industries : IT Services and IT Consulting and Outsourcing and Offshoring Consulting
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Data Analyst • Kuala Lumpur, Malaysia