Data analyst

Data Analyst – EIA/FES (DAP & Palantir Foundry)

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
  

Essential Skills & Experience

• 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