Data Analyst

Hereford
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Project Data Analyst

A small but dynamic engineering developer in the renewable energy sector is seeking a Project Data Analyst. This company specialises in renewable energy generation and sustainability solutions, providing comprehensive design, build, and support services. Their expertise spans consultancy, retrofitting, servicing, and plant optimisation. With a lean team, they are dedicated to driving efficiency, safety and profitability for renewable energy operations.

As part of their continuing growth, they are seeking a Project Data Analyst to manage and analyse large datasets from a diverse client base. You will play a critical role in delivering focused, insightful dashboards and datasets that support safe and profitable renewable energy plant operations.

Key Responsibilities of the Project Data Analyst include:

  • Collect, analyse, and interpret data to provide actionable insights for renewable energy systems and sustainable technology plant operations.

  • Develop and deliver customised dashboards and reports tailored to individual client needs.

  • Monitor and review existing client operations, ensuring compliance with service and maintenance requirements.

  • Work closely with clients from large industrial operations, agri-businesses, and high-net-worth individuals to understand and meet their unique priorities.

  • Engage in problem-solving and practical on-site evaluations to ensure optimal plant performance.

  • Support the development of innovative solutions that improve efficiency and environmental impact.

  • Assist in the implementation and ongoing development of a proprietary app designed to enhance operational efficiency.

  • Contribute to strategic company growth by identifying opportunities for operational and technological improvements.

    Skills & Experience:

  • Strong data analysis and problem-solving skills.

  • Experience in renewable energy and sustainability industries is highly desirable.

  • Engineering background preferred but not essential.

  • Ability to work independently while collaborating effectively within a small team.

  • Strong communication skills, with the ability to convey complex data insights concisely.

  • Willingness to engage with on-the-ground operations and understand practical plant functionality.

  • Ability to multitask, think strategically, and view challenges from a big-picture perspective.

  • Proactive mindset with a drive to innovate and optimise renewable energy systems.

    What’s on Offer:

  • Salary of £45,000-£55,000 depending on experience.

  • A flexible work environment with potential travel opportunities.

  • A highly collaborative and dynamic team.

  • The opportunity to work on cutting-edge renewable energy projects.

  • A role that allows for professional growth and the ability to influence company direction.

  • The satisfaction of contributing to environmental and commercial sustainability improvements.

    If you are passionate about renewable energy, data-driven decision-making, and problem-solving in a fast-evolving industry, we would love to hear from you

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.