At a Glance
- Tasks: Transform complex energy data into trusted insights and create impactful dashboards.
- Company: Join a leading energy analytics team focused on innovation and sustainability.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on accuracy and continuous improvement.
- Why this job: Make a real difference in energy systems while developing your analytical skills.
- Qualifications: Strong SQL and Python skills, with a passion for data analysis.
The predicted salary is between 35000 - 45000 £ per year.
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
Qualifications
- 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
Data Analyst in Wokingham employer: Test Triangle Ltd
As an IoT Data Architect at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a supportive work culture, and opportunities to lead impactful data governance initiatives in regulated sectors, all while being part of a forward-thinking team dedicated to excellence in data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Wokingham
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We think you need these skills to ace Data Analyst in Wokingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Test Triangle Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Test Triangle Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Test Triangle Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
