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
Skills Required
- Strong experience with SQL
- Strong data analysis experience using Python
- Experience analyzing time-series and multi-source datasets
- Strong data visualization and storytelling skills
- Ability to explain analytical findings clearly to non-technical audiences
- Experience in energy systems, utilities, infrastructure, or public-sector analytics
- Familiarity with scenario analysis, modelling outputs, or forecasting concepts
- Experience in assurance-led or regulated environments
- Understanding of DAP and Palantir Foundry concepts, including data products, lineage, and governed analytics
What We Do
Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.
