National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Renewable Energy Data Analyst

Energi People
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist (Battery Storage)

Innovation Developer

Data Scientist

D&T Sector Technology Lead - I&L

Recruitment Consultant - AI, Data Science & Energy

Data Scientist - Energy Systems Validation (Energy Sector Experience Required)

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.

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.