Overview
In this role you support portfolio modelling, forecasting and performance analysis to enable data-driven decisions across the FCAS programme. You work with cross-functional teams to gather data, maintain models, and produce insightful dashboards. You will develop scenario analyses and contribute to strategic and operational planning, gaining exposure to decision-making from strategic to operational levels. The opportunity combines hybrid work with a strong emphasis on building expertise in business modelling and data analytics to impact the programme’s delivery.
Pay / Benefits
- Time to Recharge
- Pension with employer contribution
- Mental health support
- Coursera and LinkedIn Learning access
- Bonus scheme
- Hybrid working
Responsibilities
- Develop and maintain portfolio-wide business models and forecasting tools
- Collect, validate and analyse data from multiple sources
- Support modelling for resource demand, capacity planning, production forecasting and portfolio performance
- Produce reports, dashboards and visualisations to communicate insights
- Assist with scenario analysis to assess impact of changes to schedules, resources, costs and outputs
- Support data-driven estimation through trend analysis
- Maintain model documentation, assumptions and governance records
- Translate business requirements into analytical solutions and collaborate with stakeholders
- Identify opportunities to improve data quality, reporting processes and modelling methods
- Support ad hoc requests from Portfolio Performance and wider business functions
Key requirements
- Strong analytical and problem-solving capability
- Ability to work confidently with data to identify trends and insights
- Experience with Microsoft Excel (formulas, pivot tables, data analysis)
- Effective communication and ability to present to different audiences
- Good organisational skills and attention to detail
- Ability to collaborate within cross-functional teams
- Demonstrable interest in business analysis, modelling, forecasting, or data analytics
- Experience with Power BI, Power Query, SQL, Python or similar tools (preferred)
- Understanding of project, programme, portfolio or business planning processes
- Knowledge of forecasting, resource planning, scheduling or financial analysis
- Exposure to engineering, manufacturing, aerospace, defence or complex programmes
- Experience producing management information, reports or dashboards
- Awareness of scenario modelling and business performance measurement
- Analytical thinking
- Effective communication
- Attention to detail
- Power BI
- Power Query
- SQL
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