Negotiable
Inside
Hybrid
London, United Kingdom
Summary: The Data Analyst role involves joining a data remediation team focused on simplifying the data model for a customized Salesforce implementation. The position requires proficiency in data modeling techniques and strong communication skills to engage with both technical and non-technical stakeholders. The contract is for six months and operates under an inside IR35 status. The working arrangement is hybrid, requiring two days onsite each week.
Key Responsibilities:
- Join a data remediation team to simplify the underlying data model for Salesforce.
- Utilize data modeling techniques and modern tools for data governance.
- Create and maintain data dictionaries, taxonomies, and reference/master data.
- Engage with internal customers to define data-relevant use cases and success criteria.
- Document current-state and define future-state processes, performing gap analysis.
Key Skills:
- Proficiency in data modeling techniques (3NF star/snowflake, Data Vault 2.0).
- Experience with tools like Erwin, PowerDesigner, and Sparx EA.
- Strong communication and stakeholder engagement skills.
- Experience in business analysis and requirement elicitation for data-centric changes.
- Knowledge of data architecture best practices and governance frameworks.
Salary (Rate): £400 per day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Role: Data Analyst
Location: London, UK
Working Mode: Hybrid (Weekly 2 days Onsite)
Contract Type: Inside IR35
Duration: 6 months
Rate: GBP 400 per day on Inside IR35
You will join a data remediation team tasked with simplifying the underlying data model for a heavily customised Salesforce implementation
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 (eg, via Solidatus) 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 (eg, DAMA DMBOK) and practical rules (eg, data quality rules)
Familiarity with privacy/security-by-design concepts (handling PII, data minimisation, RBAC)