Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Renewable Energy Data Analyst

Energi People
Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

HGV (C+E) Driver - Purfleet

Job Title:Renewable Energy Data Analyst

Job Type:Contract-Outside IR35

Payout: £730-£770/Day

Location:Remote

Department:Renewable Energy Analytics

Job Summary:

We are looking for a detail-oriented and proactive Renewable Energy Data Analyst to join our innovative team. In this role, you will be responsible for analysing large-scale data sets from solar and other renewable energy projects, drawing actionable insights, and supporting decision-making to enhance energy production, consumption, and operational efficiency. Working with cross-functional teams, including engineering, operations, and sustainability, you will help drive solutions that support the transition to sustainable energy practices.

Key Responsibilities:

Collect, organise, and maintain extensive data sets from solar energy systems, including IoT sensors, SCADA systems .

Analyse performance data to identify trends, correlations, and actionable insights that optimise solar energy production, efficiency, and system reliability.

Develop dashboards and automated reports to present data insights clearly to stakeholders. Use forecasting techniques and predictive models to estimate future solar energy output, optimise operations, and aid strategic planning.

Optimisation & Strategy: Work with engineering and operations teams to evaluate system performance and suggest data-driven optimisation strategies for solar energy projects.

Conduct regular validation checks and implement robust data cleaning processes to ensure the accuracy and integrity of collected data.

Contribute to sustainability reports, ensuring solar energy performance aligns with corporate sustainability objectives and industry regulations.

Partner with engineers, analysts, project managers, and external partners to integrate data-driven solutions across various renewable energy projects.

Key Requirements:

Education: Bachelor's degree in Data Science, Engineering, or related field.

Experience: 2-3 years of experience in data analysis, particularly in renewable energy, energy management, or sustainability. Experience with solar energy forecasting and performance analytics is highly desirable.

Technical Skills:

Proficiency in data analysis tools (Python, R, MATLAB).

Experience with data visualisation platforms (Power BI, Tableau).

Solid understanding of energy management software and SCADA systems.

Familiarity with cloud-based data storage and processing platforms (AWS, Azure).

Knowledge of solar energy technologies, performance metrics, and renewable energy systems.

Other Skills:

Strong expertise in statistical modelling, data mining, machine learning, and data analysis.

Ability to present complex data insights clearly and effectively to both technical and non-technical audiences.

High accuracy and precision in data management and analysis.

Strong ability to work effectively with cross-functional teams and external stakeholders.

Preferred Qualifications:

Experience with renewable energy project management or performance optimisation.

Knowledge of energy regulations, compliance standards, and industry-specific practices. Relevant certifications in data analysis is a plus.

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.