Data Analyst - Sustainability

Merksworth
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Founded in 1978, Clark Contracts Ltd is a privately owned main contractor with several operating divisions; Construction, Fit Out, Small Works, Retail, Housing, Maintenance and Manufactured Joinery. We employ over 220 people with offices in the East and West of Scotland.

As a Data Analyst – Sustainability, you will play a key role in collecting, analysing, and reporting on sustainability data across our projects and operations. Your insights will help drive our environmental and sustainability initiatives, ensuring compliance with industry regulations and supporting our journey towards net-zero carbon emissions.

Role & Responsibilities

  • Collect and analyse sustainability-related data, including energy usage, carbon footprint, waste management, and supply chain sustainability.

  • Develop and maintain sustainability performance dashboards and reports.

  • Identify trends and opportunities for improvement in environmental impact reduction.

  • Support the implementation of sustainability strategies and initiatives across the business.

  • Ensure compliance with environmental regulations and industry best practices, particularly in relation to SECR and ESOS.

  • Coordinate improvements within our ESG Strategy.

  • Collaborate with internal teams and external stakeholders to drive sustainable practices.

  • Present findings and recommendations to senior management and project teams.

  • Fully embrace the company’s customers 1st campaign to continually improve the way we deal with our Customers.

    The Candidate

  • Proven experience in data analysis, ideally within sustainability, construction, or a similar industry.

  • Strong proficiency in data analysis tools such as Excel, Power BI, or SQL.

  • Knowledge of sustainability reporting frameworks (e.g., BREEAM, ISO 14001, ESG metrics) is a plus.

  • Excellent analytical and problem-solving skills.

  • Strong communication skills to present data-driven insights effectively.

  • Due to the location of sites, a driving license is essential.

    Why work for us?

    At Clark Contracts Ltd, we offer more than just a job. We are committed to investing in our employees and providing opportunities for personal and professional growth.

  • In addition to a competitive salary (negotiable based on experience), you will benefit from: 33 days annual leave entitlement (This is inclusive of 8 public holidays), with the option to purchase additional holidays.

  • Career progression opportunities

  • Ongoing training and development

  • Contributory personal pension scheme.

  • Access to the company’s Employee Assistance Programme which includes support for both you and your family (conditions apply) as well as a team of Mental Health First Aiders.

  • Cycle to Work Scheme.

  • Group Life Assurance.

  • Critical Illness Income Protection.

  • Company Sick Pay.

  • Enhanced Paternity and Maternity Pay.

  • Eyecare Vouchers

  • Employee volunteering scheme.

  • Additional holidays for long service.

    This is a full time, permanent position and will be based at our head office in Paisley.

    Candidates who apply for this role will have their data stored for the purposes of the recruitment process. The storage of your data complies with The General Data Protection Regulation. Full details of what is stored and how can be found in our Recruitment Privacy Notice which is located on our website

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.