Senior Data Analyst


Neil Bryers

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Role: Senior Data Analyst (Public Sector / central government GDS experience required)

Location: Anywhere (Fully Remote based)

Rate: £400 – £425 per day OUTSIDE IR35

Term: 6 Months recurring

Start: Immediately/Urgently

Our client are a Digital Transformation Consultancy who provide resource for digital work programmes for various central government departs.

We require experienced Senior Data Analyst with excellent communication skills who is immediately available to work on BEIS Digital Projects. To be considered you must have experience working in public sector for central government (.gov) departments and therefore have experience of working to Government Digital Services Guidelines (GDS), the guidelines governing digital applications accessed via the website

Key skills

Business facing

Semantic analysis

Presentation skills

Hierarchical data structures

Database design / relational data concepts

Data formats: XML or similar (e.g., JSON/YAML)

GOV.UK (GDS) exposure

Proactive Team player

Ability to work mainly remotely

Experience working with shifting requirements and low agile stakeholders

Strong attention to detail

Fluent English with excellent communication skills

Core responsibilities

  • Analyse and understand Conformity Assessment Body information found in freeform PDF document by liaising with stakeholders and SMEs
  • Model a canonical data schema that covers the common subject data and any pertinent edge cases found in the PDFs
  • Map the information found in the PDFs into a hierarchical data structure (e.g., XML) and evolve a data schema that covers the common ground amongst all CABs
  • Create XML documents that are well-formed and valid (conform to the canonical schema (XSD))
  • Maintain and evolve a library of XML that represent the data-version of any CABs

You must be adept at analysis and data structures. The daily tasks will involve going through CABs, talking to SMEs about those CABs to build an XML document representation of said CAB. Each XML document should conform to one common canonical schema. The analysis should identify the best common data structure across all CABs and take into account edge cases when necessary. It should also identify which elements amongst CABs are semantically equivalent and transform those elements into a single structure. It will be important to evolve the schema as new information is discovered. All XML documents should validate against the schema. If JSON is preferred, then this is acceptable.

Search Terms: Senior Data Analyst, .Gov, GDS, Semantic analysis, Hierarchical data structures, Database design / relational data concepts, Data formats: XML or similar (e.g., JSON/YAML)

If you wish to apply for this position, please email us at