At a Glance
- Tasks: Collect, manage, and analyse data from renewable energy assets like wind and solar.
- Company: Join GreenPower, a leader in renewable energy innovation.
- Benefits: Competitive salary, potential for skilled worker sponsorship, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and sustainability.
- Why this job: Make a real impact in the renewable energy sector while developing your technical skills.
- Qualifications: Degree in Engineering, Computer Science, or Data Science; experience with data analysis tools.
The predicted salary is between 29700 - 36300 £ per year.
GreenPower is seeking to appoint an Asset Data Analyst who will have overall responsibility to collect, manage and analyse data from operational renewable generation and/or other GreenPower energy assets including wind, hydro, EV, hydrogen and solar.
This is a pivotal, collaborative role designed for an experienced and skilled hands-on technical analyst or engineer. For our new development areas such as EV and hydrogen production in particular, you will have the opportunity to establish new data infrastructure, define high-integrity data processes, and lead the delivery of automated reporting for project teams, senior management, and investors.
The post offers the successful applicant the opportunity to lead operational asset data handling and analysis across key areas of the business. Applicants should have a strong technical and scientific background and, preferably, relevant experience in a similar role.
Essential candidate criteria
- Degree or higher national diploma (HND) in Engineering, Computer Science, Data Science, or a closely related technical field.
- Proven experience cleaning and processing time-series data using tools including Excel, SQL and Python.
- Experience in obtaining operational data from SCADA systems or industrial internet platforms.
- Strong engineering mindset with the ability to interpret SCADA data to understand technical faults in physical equipment.
- Ability to translate complex data findings into simple, actionable insights.
- Familiarity with gathering data through Application Programming Interfaces (APIs).
- Full, current driving licence valid for driving in the UK.
Application requirements:
To apply for this vacancy, please submit your application via the "Apply Now" section on our website. Your application should include:
- Your CV, and
- A Cover Letter outlining:
- How you meet all seven essential criteria set out in the job specification. You may also choose to address any desirable criteria that you meet;
- Your salary expectations for this post; and
- Your current right-to-work status, including your immigration status or visa type, where applicable. (Skilled Worker sponsorship for this role may be available for candidates who meet the relevant eligibility requirements.)
Please note that applications will only be considered where all the application requirements have been met.
Previous applicants should not reapply unless there have been material changes to their circumstances or application.
Closing date for applications: Thursday 8th October at 23:59pm.
Asset Data Analyst in Alloa employer: GreenPower Developments
GreenPower is an exceptional employer, offering a dynamic work environment where innovation meets sustainability. As an Asset Data Analyst, you will play a crucial role in shaping the future of renewable energy, with opportunities for professional growth and collaboration on cutting-edge projects in EV and hydrogen production. Our supportive culture fosters continuous learning and development, making it an ideal place for those passionate about making a meaningful impact in the energy sector.
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We think this is how you could land Asset Data Analyst in Alloa
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We think you need these skills to ace Asset Data Analyst in Alloa
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at GreenPower Developments
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
