Role Title: Data Analyst/Senior Data Analyst
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Minimum Criteria:
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 (e.g., via Solidatus) 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)