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Asset Data Analyst

GreenPower DevelopmentsAlloa, Clackmannanshire🇬🇧United KingdomPosted 17 Sept 2026

Why This Role Stands Out

This hybrid role at GreenPower Developments offers a fantastic opportunity to shape data infrastructure and drive insights across cutting-edge renewable energy assets, perfect for a technically skilled analyst eager to make a significant impact. You'll thrive here if you have a strong engineering background and experience with time-series data, with the chance to lead data strategy in exciting new development areas. Apply now to join a forward-thinking team and advance your career in the sustainable energy sector.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Alloa, Clackmannanshire, United Kingdom
Posted
Yesterday
SQLPython

Job Description

About the role


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.


For a detailed list of roles and responsibilities, please refer to the full Job Description available on our website.



Essential candidate criteria

1. Degree or higher national diploma (HND) in Engineering, Computer Science, Data Science, or a closely related technical field.

2. Proven experience cleaning and processing time-series data using tools including Excel, SQL and Python.

3. Experience in obtaining operational data from SCADA systems or industrial internet platforms.

4. Strong engineering mindset with the ability to interpret SCADA data to understand technical faults in physical equipment.

5. Ability to translate complex data findings into simple, actionable insights.

6. Familiarity with gathering data through Application Programming Interfaces (APIs).

7. 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:


  1. Your CV, and
  2. 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.

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