Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role involves contract work based in London, Leeds, or Edinburgh, requiring three days in the office and occasional travel to London for workshops. The position demands proficiency in data modeling techniques and strong communication skills to engage with both technical and non-technical stakeholders. The candidate will work on data governance, maintain data dictionaries, and define data use cases in collaboration with internal customers. Experience with data architecture and governance frameworks is desirable.
Key Responsibilities:
- Proficiency in data modeling techniques (3NF star/snowflake, Data Vault 2.0) using modern tools (erwin, PowerDesigner, Sparx EA) and version control.
- Creating and maintaining data dictionaries, taxonomies, and reference/master data with governance for ongoing maintenance.
- Working with internal customers to define data-relevant use cases and success criteria.
- Strong communication and stakeholder engagement skills to communicate with technical and non-technical audiences.
Key Skills:
- 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).
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Data Analyst
Duration :Contract
Location: London, Leeds, or Edinburgh with 3 days in office (must also be willing to travel to London for any workshop)
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 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)