Data Analyst

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

Desirable

• 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

• Agile, collaborative delivery

• Strong partnership with modelling, policy and digital teams

• Focus on accuracy, transparency and reusability