Energy & Water Data Analyst

Bretton, County of Flintshire

1 month ago

Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Data Strategy Consultant

Hybrid Geospatial Consultant — Web GIS and Data Analytics

Data Science Manager at Severn Trent – Coventry, England, GB

Sewerage Data Scientist Placement Student

Data Engineer - Movement Analytics

Energy & Water Data Analyst
Long-term contract | North Wales (with UK travel) | BPSS+ required
Up to £29.89/hr PAYE or £40/hr Umbrella
We’re supporting a major engineering and manufacturing organisation in their search for an experienced Energy & Water Data Analyst. This is a fantastic long-term opportunity (running until late 2026, with strong potential to extend) to play a pivotal role in energy, water and sustainability performance across a large UK property portfolio.
You’ll join a specialist Energy & Sustainability team and take ownership of the full lifecycle of resource data — from metering and systems through to analysis, insight, compliance, and project support. If you love turning complex data environments into meaningful action, this one’s for you.
What you’ll be doing
Data Management & Insight

Act as the UK data expert for energy and water systems, ensuring data platforms and EMS tools are configured, accurate and reliable.
Analyse large, complex consumption datasets to spot anomalies, trends, inefficiencies, and failures across multiple UK sites.
Build meaningful KPIs, dashboards and reports used by operations and senior leadership.
Maintain data integrity and lead remedial actions when issues arise.
Compliance & Project Support
Provide technical expertise on energy and water compliance standards, legislation, and best practice.
Support the delivery of CO₂ reduction and decarbonisation roadmaps.
Contribute data and cost modelling for Opex/Capex planning and investment cases.
Assist with feasibility, tender support, and oversight of infrastructure projects.
Participate in internal and contractor compliance audits, supporting environmental standards such as ISO 50001.
Stakeholder Engagement
Work closely with FM, sustainability teams, project teams, contractors, and senior management.
Support UK sites with occasional travel (approx. 1–2 times per month).
What we’re looking for
5+ years’ experience in Energy or Environmental Management, ideally in large or complex facilities.
Expert knowledge of the end-to-end energy data lifecycle (BMS systems, metering, EMS tools such as eSight, data transfer solutions).
Strong technical understanding of water systems, consumption reduction approaches, and infrastructure improvements.
Solid grasp of compliance requirements, including relevant legislation, regulations, and codes of practice.
Confident analysing large datasets (e.g., regression, baseload analysis) and presenting clear insights.
Strong stakeholder engagement skills and the ability to work across multiple sites.
Must be a British national and able to obtain BPSS+ clearance.
Contract Details
Location: Primarily North Wales, with travel to UK sites.
Hours: 35 per week over 4.5 days, flexible between 7am–7pm.
IR35: Inside (off-payroll working rules apply).
Start: As soon as clearance is completed.
Interview process: One stage.
If this role is of interest and you meet the above criteria, then please apply immediately

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jan 13, 2026

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Jan 6, 2026

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.