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# Data Analyst

- **Company:** Test Triangle
- **Location:** Wokingham, UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Data Visualization, Python (Programming Language), SQL Databases, Data Analytics
- **Published:** June 19, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gbae413d455e0b3e28107d6db8ab8aa088

## About the Role

* 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

## Description

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


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