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