Data Architect

About This Role

This role is about transforming project and financial data into clear, proactive insights for senior stakeholders and the leadership team. It involves linking trends, early warnings, and predictive signals to key decisions, focusing on explaining the "why" and "what next" beyond just existing reporting requirements.

Responsibilities

• Detect leading indicators of cost/schedule variance, risk exposure, and delivery slippage before they surface in monthly reporting
• Build light-weight forecasts and scenarios that quantify impact and recommend mitigations
• Deliver concise, executive-ready narratives (one-pagers, briefings) that drive action
• Analyze large, multi-source datasets (cost, schedule, risk, change, progress) to uncover trends, drivers, and anomalies
• Perform time-series, regression, variance and sensitivity analyses; translate results into clear recommendations
• Create fit-for-purpose visuals (e.g., small-multiple charts, run-charts, control charts) to evidence findings
• Define and track leading KPIs and thresholds; set up alerts and watchlists for emerging risks
• Partner with PMO/Project Controls/Finance to align insights with the reporting cycle and governance forums
• Improve data quality and consistency; shape simple data models that make recurring analysis faster

Requirements

• Strong analytical toolkit: advanced Excel (modelling, Power Query, complex formulas), sound statistics, and storytelling with data
• Working knowledge of Power BI for light modelling/visuals (deep dashboard development not required)
• Ability to join the dots across data, context, and delivery realities; crisp written and verbal communication for senior audiences
• Experience operating in fast-paced project environments and influencing through evidence

Nice to have:

• Project Controls background (EV, cost & schedule analytics, trends, PMB, WBS) and/or Finance (budgeting, forecasting, variance)
• Ability to interpret Primavera P6 outputs (logic, slippage, float) and link schedule signals to cost/risk
• Exposure to major infrastructure programmes
• SQL and/or basic Python/R for heavier analysis or repeatable workflows
• Demonstrable experience in the development of reports and dashboards to a diverse set of stakeholders in a fast paced environment
• Highly skilled in mainstream BI tools (including but not limited to Power BI)
• Understand and promote data quality
• Knowledge or experience with Extract Transform Load (ETL)
• Knowledge with Azure integration services

Important Details

• Flexible working: part-time, remote working, or compressed hours are available