Data Analyst â EIA/FES (DAP & Palantir Foundry)
Role Purpose
Support Energy Insights & Analysis (EIA) and Future Energy Scenarios (FES) by delivering highâ quality analysis, dashboards and data products on NESOâ 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 decisionâ making.
Key Responsibilities
- Perform exploratory and structured analysis on large, complex datasets (timeâ 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, wellâ structured insight packs, visualisations and narratives for senior and nonâ 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
Essential Skills & Experience
- Strong experience in SQL and data analysis using Python
- Experience analysing timeâ series and multiâ source datasets
- Strong data visualisation and storytelling skills
- Ability to explain analytical findings clearly to nonâ technical audiences
Desirable
- Experience in energy systems, utilities, infrastructure or publicâ sector analytics
- Familiarity with scenario analysis, modelling outputs or forecasting concepts
- Experience working in assuranceâ led or regulated environments
- Understanding of DAP and Foundry concepts (data products, lineage, governed analytics)
Ways of Working
- Agile, collaborative delivery
- Strong partnership with modelling, policy and digital teams
- Focus on accuracy, transparency and reusability
