Data Analyst Modeller

Salt; Greater London; Hybrid; GBP 120,000 - 140,000; Full time

Job summary

Salt is seeking a Data Analyst Modeller for a 6- to 12‑month contract in Stratford, London. The role is hybrid—3 days on-site—with a focus on developing and maintaining logical data models, ER diagrams, and data mappings across a multi-system estate.

You will analyse data sources, ensure data quality, and align models with the wider data strategy. The ideal candidate has strong SQL skills, experience with data profiling, and the ability to communicate complex concepts to both technical and

Qualifications

• Strong commercial experience in data analysis and logical data modelling.
• Experience building conceptual and logical data models in multi-system environments.
• Proven ability to create ER diagrams and map data across sources.
• Good SQL skills for data profiling and validation.

Responsibilities

• Develop and maintain logical data models across products and domains.
• Create and maintain ER diagrams to define entities and relationships.
• Analyze data sources across a multi-system environment.
• Map data between existing systems and target models.
• Identify data quality issues and conflicting definitions.
• Use SQL to interrogate, profile and validate source data.
• Define data contracts and document shared concepts.
• Collaborate with data specialists to align models with strategy.
• Present models and recommendations in governance forums.
• Maintain mappings, glossaries and documentation as requirements evolve.

Skills

Data modelling

SQL

Data profiling

Stakeholder engagement

Workshops facilitation

Tools

ER diagram tools

Python

Graph databases

Job description

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
• 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