Data Analyst - Sustainability

Merksworth
8 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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.