Data Analyst

Data Analyst EIA/FES (DAP & Palantir Foundry)

Role Purpose

Support Energy Insights & Analysis (EIA) and Future Energy Scenarios (FES) by delivering highquality analysis dashboards and data products on NESOs 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 decisionmaking.

Key Responsibilities

• Perform exploratory and structured analysis on large complex datasets (timeseries 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 wellstructured insight packs visualisations and narratives for senior and nontechnical 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 timeseries and multisource datasets
  
• Strong data visualisation and storytelling skills
  
• Ability to explain analytical findings clearly to nontechnical audiences
  

Desirable

• Experience in energy systems utilities infrastructure or publicsector analytics
  
• Familiarity with scenario analysis modelling outputs or forecasting concepts
  
• Experience working in assuranceled 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