Data Analyst Modeller Rate: £500 per dayStatus: Outside IR35Contract: 6-12 monthsLocation: Stratford, LondonWorking Pattern: Hybrid – 3 days per week on-siteIndustry: 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
- Strong experience creating entity relationship diagrams
- Strong SQL capability
- 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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