Renewables Analyst

ONYX Insight is seeking a Renewables Analyst in Nottingham, UK, to analyze wind turbine data using advanced analytical methods. The role involves collaborating with experts to develop data consultancy offerings and requires strong analytical skills, knowledge of the energy sector, and proficiency in tools like Power BI and Python. The position offers opportunities for career growth in the renewable energy sector, focusing on data-driven solutions.
The Role

We are looking for a Data Analyst to join our team, where you will play a critical role in developing and implementing advanced analytical methods for wind turbine data. This includes working with a variety of data sources, such as vibration, SCADA, oil, and maintenance data, to deliver insights that drive operational efficiency and enable predictive maintenance solutions.

You will collaborate with domain experts and developers to create innovative data and analytics consultancy offerings that meet the evolving needs of our clients.

The ideal candidate will bring strong analytical expertise, a background in the energy sector (preferably renewables), and experience with data analysis tools such as Power BI and Python. This is a unique opportunity to make a significant impact in the renewable energy industry through data-driven solutions.

What You’ll Do
• Develop and implement advanced analytical methods for wind turbine data analysis across a wide range of data sources e.g. vibration, SCADA, Oil, maintenance.
• Research and evaluate ML techniques applicable to time-series data and signal processing
• Research and Evaluate Machine Learning techniques to identify opportunities for new or improved methods.
• Collaborate with domain experts and developers to create new data and analytics consultancy offerings.
• Support the delivery of data and analytics consultancy services.

Ideally You’ll Have/be
• Strong analytical background, ideally in energy sector, preferably renewables.
• Proficiency in data analysis tools and programming languages such as power bi and python.
• Effective communication skills to technical and non-technical audiences.
• Basic understanding of data pipelines and working with data engineers to establish new pipelines and improve existing ones.
• Advanced statistical and machine learning expertise relevant to Wind Turbine Analytics.
• Knowledge or experience of Signal Processing for vibration data
• Knowledge of wind turbine engineering concepts applied to data analytics.
• Experience with SQL Databases and AWS S3.

Why Join ONYX Insight?
• Make an Impact: Join a team that is revolutionising the renewable energy sector through data-driven innovation.
• Career Growth: We offer opportunities for career progression and the chance to work on high-impact projects.
• Global Reach: Be part of a growing company with global influence and operations across the renewable energy sector.

About ONYX

ONYX Insight is a growing technology and engineering organisation in the renewable energy sector. Our vision is to build a more efficient future by becoming the world’s most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production.

ONYX Insight is part of the Macquarie Group. Macquarie is a global financial services group operating in 34 markets in asset management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory services, capital raising and principal investment. The diversity of the Macquarie Group operations combined with a strong capital position and robust risk management framework has contributed to a 54 year-record of unbroken profitability.

For any further information, or to understand our products and services better, please feel free to look through our website: https://onyxinsight.com/

ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.