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Construction & Engineering Data Analyst - Built Environment

Ne. Ba. servizi sas
City of London, England
7 months ago
Applications closed

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Construction & Engineering Data Analyst - Built Environment

Data Analyst / Data Engineer - Built Environment


South West base with weekly travel to a major project site near Oxford


Hybrid working available – 3 days on site


A Built Environment Consultancy are seeking a Data Analyst / Data Engineer to join their Digital Engineering function, supporting data-driven delivery across major engineering and construction projects. This role is suited to someone technically strong, Power BI-literate, and comfortable working in a construction or infrastructure environment with a digital / data bias.


What You Will Be Doing

  • Developing, maintaining and optimising data pipelines and warehousing for project data
  • Extracting, cleaning and transforming large datasets to support reporting and decision-making
  • Designing and delivering dashboards and self-service reporting (Power BI essential)
  • Working with BIM, GIS, IoT and other digital tools to embed data into project delivery
  • Ensuring data governance, integrity and security across the full data lifecycle
  • Automating repetitive tasks to drive productivity and consistency
  • Working with multidisciplinary stakeholders to embed data-led thinking in project workflows

What You'll Need

  • Proven experience in data analysis / engineering, ideally in construction, infrastructure or the built environment
  • Strong literacy in Power BI and competency in Python / SQL or similar
  • Experience with data warehousing or cloud environments (Azure / AWS / GCP)
  • Ability to turn complex data into clear, actionable outputs for project teams
  • Strong communication skills and comfort working with engineering stakeholders

Desirable

  • Experience of BIM, GIS or digital engineering toolsets
  • Appreciation of data science concepts and methods
  • Prior experience in a consultancy environment (large management consultancy backgrounds ideal)
  • Ability to lead a data analytics service stream

If this sounds suitable for you, or someone you know, please send an updated CV and contact number to Sean Cloherty at Panoramic Associates so we can discuss further.


Contact: Sean Cloherty – Panoramic Associates


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