Data Analyst

Data Analyst

Posted Today by Natobotics

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Negotiable
Undetermined
Hybrid
London, England, United Kingdom
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Business Analysis Data Architecture Data Governance Data Modeling Data Quality Data Vault Modeling Gap Analysis Non-Relational Data Stores PowerDesigner Requirements Elicitation Role-Based Access Control (RBAC) Stakeholder Engagement Stakeholder Management Third Normal Form Version Control

Summary: The Data Analyst role involves proficiency in data modeling techniques and modern tools, focusing on creating and maintaining data dictionaries and engaging with internal customers to define data use cases. Strong communication skills are essential for interacting with both technical and non-technical audiences. The position is hybrid, requiring three days in the office, and is based in London, Leeds, or Edinburgh. The role also emphasizes the importance of data governance and 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.
  • Communicating effectively with technical and non-technical audiences.
  • Documenting and implementing data lineage and impact analysis.
  • Performing gap analysis between current-state ("as-is") and future state ("to-be") processes.
  • Exposure to data governance frameworks and practical rules, including data quality rules.
  • Familiarity with privacy/security-by-design concepts, including handling PII and data minimization.

Key Skills:

  • Proficiency in data modeling techniques and modern tools.
  • Experience in creating and maintaining data dictionaries and governance.
  • Strong communication and stakeholder engagement skills.
  • Exposure to relational and non-relational data stores and data warehouse/lakehouse concepts.
  • Experience in business analysis and requirement elicitation for data-centric changes.
  • Knowledge of data architecture best practices.
  • Experience with data governance frameworks.
  • Familiarity with privacy/security-by-design concepts.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Role : Data Analyst

Location : London, Leeds, or Edinburgh

Work Mode : Hybrid (3 days from office)

Job Description

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)

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