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

Nominate & Attend

PV Performance Data Analyst

EQUANS
royaume-uni
2 days ago
Applications closed

Company Overview


Leveraging decades of experience, Equans Solar & Storage is the one-stop partner for scaled, integrated and performant solutions on solar & storage energy projects.

Our mission: serving energy transition and low carbon world by empowering the deployment and integration of solar and storage solutions.

We provide solar PV & hybrid plants, energy storage, innovation and solar PV B2B customers.

Operating in 15 countries, with more than 1, experts dedicated to solar PV and high voltage, Equans Solar & Storage has installed over 6GW solar energy capacity worldwide, MWh BESS and is operating and maintaining approximately 2GW of solar PV plants.

Position Overview


We are seeking a highly analytical and detail-oriented PV Performance Data Analyst to support the operation and optimization of our growing portfolio of utility-scale solar power plants. The ideal candidate will leverage date analytics to assess plant performance, identify inefficiencies, and help drive strategic improvements across a portfolio of solar asset. 


Key Responsibilities 

Monitor and analyze real-time and historical data from SCADA, hypervisor and other monitoring systems across our global solar O&M portfolio. Includes collection, triage and analysis of data from sites as well as maintenance operations, requiring regular collaboration with site teams and/or O&M managers.


Develop and maintain performance dashboards, reports, and KPIs for internal and external stakeholders. Comparison of actual performance data with forecasts (availability, Performance Ratio, Yield, EPI) in particular.
Perform root cause analysis of underperformance issues (e.g., inverter faults, soiling, weather impacts, grid limitation, equipment degradation).
Collaborate with O&M and engineering teams to implement data-driven performance improvement initiatives. Be an ambassador of PV performance across the business unit.
Identify anomalies and develop automated alerting systems to flag operational issues.
Develop of in-house tools for data analytics that can be used across a diverse portfolio of assets.
Assist with data cleaning, integrity checks, and sensor calibration validations.
Provide insights during the commissioning phase to validate expected vs. actual performance and support the acceptance tests.
Coordinates the onboarding of newly connected plants to our hypervisor in the agreed timeline.
Keep abreast of technological and commercial market developments and to inform senior management of any salient information.

Qualifications & Skills

Bachelor's degree in Data Science, Engineering, Renewable Energy, Physics, or a related field.


3+ years of experience in energy data anlytics, or a related role. 
Proficiency in Microsoft Excel. Experience in analysis of time series, knowledge of visualizzation tools like Power BI and Python programming is considered an asset. 
Knowledge of PV systems / electrical equipment. Experience with SCADA systems is considered an asset.
Familiarity with databases and big data management. Able to work independently on MySQL, API and capacity for ETL process on large datasets. 
Familiarity with CAD files and experience on design or schematics of solar farms (layouts, electrical diagrams, etc.), understanding of PV design concepts and flobal vision on construction & exploitation of projects. Knowledge of PVSyst is considered an asset.
Organizational skills, reporting skills, attention to detail and good written and spoken communication skills. Team player, solution-oriented.
Fluent in English. Knowledge of French and/or Spanish are considered a plus.

To learn more about us visit the . 

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.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.