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Data Analyst

Milton Keynes
1 month ago
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Job Title: Data Analyst – Geospatial

Location: Hybrid based in Paddington, London or Milton Keynes

Employment Type: Contract outside IR35

Salary/day rate: Competitive

Infinitive is a small but highly successful and growing company at the cutting edge of

tech within the rail industry, utilising hardware, software and data. We have worked

on many exciting projects recently (with more in the pipeline) and we have an

impressive list of clients such as Network Rail, Transport for Wales, Transport for

London & Keolis to name just a few. We also delivered on a key project for the Fifa

World Cup Qatar 2022.

Role Overview:

We are seeking a detail-oriented and technically proficient Geospatial Data Analyst to support the review and interpretation of geospatial data specifications. The successful candidate will be responsible for extracting, documenting, and refining geospatial asset location editing rules to ensure data integrity, consistency, and alignment with operational standards.

Key Responsibilities:

  • Review and interpret geospatial data specifications, schemas, and metadata.

  • Identify and extract rules governing asset location editing, including determining the spatial accuracy, attribute constraints, and topology requirements.

  • Collaborate with GIS developers, data stewards, and asset managers to validate and refine editing rules.

  • Document editing rules in a structured format suitable for integration into data validation tools or editing workflows.

  • Support the development of rule-based automation for asset data quality assurance.

  • Provide insights and recommendations to improve geospatial data governance and asset data lifecycle management.

    Required Skills & Experience:

  • Strong understanding of geospatial data formats (e.g., GeoJSON, GML, Shapefiles), coordinate systems, and spatial databases.

  • Experience with GIS platforms (e.g., ArcGIS, QGIS) and geospatial data validation tools.

  • Ability to interpret technical specifications and translate them into actionable rules.

  • Familiarity with asset management systems and infrastructure data (e.g., utilities, transport, telecom).

  • Excellent analytical, documentation, and communication skills.

    Desirable Qualifications:

  • Degree in Geography, Geospatial Science, Data Science, or a related field.

  • Experience with scripting languages (e.g., Python, SQL) for geospatial data processing

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