Role Purpose
Support Energy Insights & Analysis (EIA) and Future Energy Scenarios (FES) by delivering high quality analysis, dashboards and data products on NESO's Data & Analytics Platform (DAP) using Palantir Foundry. The role focuses on transforming complex energy system data into trusted insights that inform modelling, scenario development and strategic decision making.
Key Responsibilities
- Perform exploratory and structured analysis on large, complex datasets (time series, scenario, market, network and policy data)
- Support EIA/FES modelling teams by preparing, validating and analysing input and output datasets
- Develop reproducible analysis workflows using SQL and Python within Foundry
- Produce clear, well structured insight packs, visualisations and narratives for senior and non technical stakeholders
- Work closely with Data Scientists, Data Engineers and Modellers to align analysis with business and policy questions
- Ensure data outputs meet quality, governance, lineage and assurance requirements
- Contribute to continuous improvement of analytical standards, templates and reusable assets across EIA/FES
- Strong experience in SQL and data analysis using Python
- Experience analysing time series and multi source datasets
- Strong data visualisation and storytelling skills
- Ability to explain analytical findings clearly to non technical audiences
- Experience in energy systems, utilities, infrastructure or public sector analytics
- Familiarity with scenario analysis, modelling outputs or forecasting concepts
- Experience working in assurance led or regulated environments
- Understanding of DAP and Foundry concepts (data products, lineage, governed analytics)
Ways of Working
- Strong partnership with modelling, policy and digital teams
- Focus on accuracy, transparency and reusability