Data Analyst

· Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control

· Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance

· Experience working with internal customers to define data-relevant use cases and success criteria

· Strong communication and stakeholder engagement skills; able to communicate with technical and non-technical audiences

Desirable Criteria

· Exposure to relational and non-relational data stores; data warehouse/lakehouse concepts; ETL/ELT patterns and tools

· Experience in business analysis and requirement elicitation for data-centric changes; translating business needs into data models

· Experience with documenting/implementing data lineage and impact analysis

· Knowledge of data architecture best practices

· Proven ability to document the current-state ("as-is") and define the future state ("to-be") processes and perform gap analysis

· Exposure to data governance frameworks (e.g., DAMA DMBOK) and practical rules (e.g., data quality rules)

· Familiarity with privacy/security-by-design concepts (handling PII, data minimisation, RBAC)