senior Data Analyst

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)