Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role is a contract position based in London, Leeds, or Edinburgh, requiring a minimum of three days in the office and occasional travel to London for workshops. The role focuses on data modeling, governance, and stakeholder engagement, with a strong emphasis on communication skills and technical proficiency in modern data tools. Candidates should have experience in defining data use cases and maintaining data dictionaries, along with a solid understanding of data architecture best practices.
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 interact 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)