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.