Data Analyst

Test Triangle Ltd; Wokingham; On-site; GBP 40,000 - 60,000; Full time

Job summary

Test Triangle Ltd in the United Kingdom is seeking a candidate for a role focused on energy insights and analysis. The position involves delivering high-quality analytical insights, dashboards, and data products using Palantir Foundry. Ideal candidates should possess strong SQL skills, experience in data analysis, and the ability to convey findings effectively to diverse audiences.

Responsibilities include performing analysis on large datasets, preparing modeling inputs, and collaborating with data teams to ensure data quality and governance.

Qualifications

• Strong experience in SQL and data analysis using Python.
• Experience analysing time-series and multi-source datasets.
• Understanding of DAP and Foundry concepts.

Responsibilities

• Perform exploratory and structured analysis on large, complex datasets.
• Develop reproducible analysis workflows using SQL and Python.
• Produce clear visualisations for senior and non-technical stakeholders.

Skills

SQL

Data analysis using Python

Data visualization

Storytelling skills

Experience with time-series datasets

Experience in energy systems

Job description

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
• 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
• 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

• Strong partnership with modelling, policy and digital teams
• Focus on accuracy, transparency and reusability