Data Analyst Modeller Rate: £500 per day
Status: Outside IR35
Contract: 6-12 months
Location: Stratford, London
Working Pattern: Hybrid - 3 days per week on-site
Industry: Public Sector - International Education
Key Responsibilities.
Develop and maintain logical data models across multiple products, platforms and business domains
Create and maintain entity relationship diagrams to clearly define entities, attributes and relationships
Analyse existing data sources across a complex, multi-system technology estate
Map data between existing systems and target models
Identify data quality issues, gaps, inconsistencies and conflicting definitions
Use SQL to interrogate, profile and validate source data
Understand how information flows between systems, applications and services
Support the definition of API and event-based data contracts
Define and document shared data concepts and common business terminology
Work within existing organisational taxonomy, data standards and governance frameworks
Collaborate with enterprise data specialists to ensure programme-level models align with wider organisational data strategy
Support the definition and evolution of canonical or golden records where appropriate
Work with product and engineering teams to understand locally owned data models and how they interact with the wider ecosystem
Facilitate workshops with subject-matter experts and business stakeholders to establish common definitions
Validate proposed data models with technical and non-technical stakeholders
Present models and recommendations through appropriate architecture and governance forums
Maintain data models, mappings, glossaries and supporting documentation as requirements evolve
Essential Skills and Experience.
Strong commercial experience in data analysis and logical data modelling
Demonstrable experience developing conceptual and logical data models within complex, multi-system environments
Experience with data profiling and data quality analysis
Ability to identify entities, attributes, relationships and data boundaries across complex business domains
Experience mapping source data to target models
Understanding of APIs, system integration and data exchanged between applications
Understanding of event-driven architectures and modern integration patterns
Experience working with shared data definitions, business glossaries or taxonomies
Experience with master data, canonical records or golden record concepts
Experience using recognised data modelling tools
Strong stakeholder engagement and workshop facilitation skills
Proven ability to build consensus around definitions and data structures
Ability to communicate complex data concepts clearly to technical and non-technical audiences
Ability to work effectively within an evolving transformation environment
Desirable Experience.
Experience within SaaS or product-led technology environments
Experience within education technology, digital learning, assessment or similar digital services
Experience working across Azure and/or AWS environments
Python experience
Experience with graph or knowledge-graph modelling
Understanding of international data residency requirements
Exposure to AI-enabled products or technology environments
Candidate Profile
This opportunity is expected to suit a mid-to-senior-level data professional. The successful candidate must be equally comfortable working with data and people. Strong technical modelling capability is essential, but so is the ability to speak with subject-matter experts, understand real-world business concepts, challenge assumptions and gain agreement around proposed structures. Applicants must already have unrestricted right to work in the UK. Visa sponsorship is not available for this opportunity. *Rates depend on experience and client requirements
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