Data Mapping & Integration Analyst (Contract)
6-12 months Outside IR35 £510 per day Hybrid - Midlands
The Company
Our client is embarking on a major application rebuild programme to modernise the technology behind its customer options and configuration process. The existing platform has served the business well but suffers from a fragmented data structure that limits scalability and insight.
This project is focused on re-engineering the data layer to create a clean, efficient foundation for operational performance and downstream analytics.
The Role
The Data Mapping & Integration Analyst will play a key role in defining how data flows through this new platform, from source systems through to the central data environment.
Working closely with the Data, Architecture, and Application Development teams, this individual will ensure the new system is designed with robust, future-proofed data structures that support both operational use and analytical value. This is a hands-on data role, not a reporting or visualisation position, focused on understanding how data is captured, structured, and transferred between systems.
Key Responsibilities
- Analyse and document as-is data structures, including JSON-based and SQL sources.
- Design and define the to-be data model, including entity relationships, data dictionaries, and lineage.
- Develop and maintain detailed source-to-target mappings to support data migration and system integration.
- Collaborate with solution architects, developers, and business SMEs to ensure the data model supports both operational processes and analytical requirements.
- Identify and resolve data quality and consistency issues early in the project lifecycle.
- Provide input to design documentation, data governance standards, and technical specifications.
- Act as the data SME across the application rebuild, ensuring data considerations are embedded from design through delivery.
Skills & Experience
- Strong experience in data analysis, data modelling, and data mapping within application rebuilds or migration projects.
- Excellent understanding of relational databases (SQL) and working knowledge of JSON or similar semi-structured formats.
- Demonstrable experience in producing source-to-target mappings, data dictionaries, and integration specifications.
- Proven track record of collaborating with technical and business teams to align data design with functional outcomes.
- Awareness of data quality, lineage, and governance principles.
- Previous experience working in complex operational environments such as retail, manufacturing, property, or ERP/CPQ systems is advantageous.
