Insight Data Analyst
Role Overview
Turn project and financial data into proactive insight that links trends, early warnings and predictive signals to decisions.
Detect leading indicators of cost or schedule variance, risk exposure and delivery slippage before routine reporting.
Build lightweight forecasts and scenarios, quantify impacts and recommend mitigations.
Deliver concise, executive-ready narratives that support decisions and action.
Key Skills for This Role
Full Job Posting
Purpose and outcomes
Turn project and financial data into proactive insight that links trends, early warnings and predictive signals to decisions.
Detect leading indicators of cost or schedule variance, risk exposure and delivery slippage before routine reporting.
Build lightweight forecasts and scenarios, quantify impacts and recommend mitigations.
Deliver concise, executive-ready narratives that support decisions and action.
What you will do
- Analyse cost, schedule, risk, change and progress datasets to find trends, drivers and anomalies.
- Perform time-series, regression, variance and sensitivity analysis and translate results into recommendations.
- Create fit-for-purpose charts, including small multiples, run charts and control charts.
- Define and track leading KPIs and thresholds; set up alerts and watchlists for emerging risks.
- Partner with PMO, Project Controls and Finance to align insights with reporting and governance cycles.
- Improve data quality and consistency and shape simple data models for recurring analysis.
What you will bring
- Advanced Excel skills, including modelling, Power Query and complex formulas; sound statistics and data storytelling.
- Working knowledge of Power BI for light modelling and visuals; deep dashboard development is not required.
- Ability to connect data with context and delivery realities and communicate clearly to senior audiences.
- Experience in fast-paced project environments and influencing through evidence.
Desirable experience
- Project Controls background and/or Finance experience, including relevant cost, schedule, budgeting or forecasting analysis.
- Ability to interpret Primavera P6 outputs and link schedule signals to cost and risk; exposure to major infrastructure programmes.
- SQL and/or basic Python or R, report and dashboard development, BI tools, data quality, ETL or Azure integration services.
Flexible working
- The employer invites candidates to discuss flexibility, which may include part-time, remote working or compressed hours; arrangements depend on what is possible for the role.
Project context
The role works on HS2, the UK's high-speed rail network, for the SCS joint venture delivering the HS2 London Tunnels Contract.
The contract scope includes twin-bored tunnels, SCL tunnels, shaft sinking, bridge demolition and reconstruction, services diversions, earthworks and site compounds.
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