Performance Data Analyst

GreenEnco Limited; Greater London; Ibrido; GBP 45.000 - 65.000; Tempo pieno

Vantaggi offerti da questo lavoro

Company pension scheme.

Private medical insurance.

Descrizione del lavoro

GreenEnco Limited is seeking a data-driven analyst to transform solar asset data into actionable insights for clients and engineering colleagues.

You will analyse operational data from solar assets, identify performance losses and support diagnostic, predictive studies while delivering client-ready reports and visualisations. You will work with engineers and asset-management teams to validate findings and improve repeatable workflows.

Competenze

• A degree or equivalent experience in engineering, data science, mathematics or another relevant discipline.
• Experience analysing complex datasets and explaining the results clearly.
• Strong spreadsheet skills and confidence working with data-analysis tools.
• Careful attention to detail and a structured approach to problem-solving.
• Clear written and verbal communication skills.
• The right to work in the United Kingdom.
• Experience with solar PV monitoring, SCADA or asset-management data.
• Knowledge of Python, SQL or business-intelligence tools.
• An understanding of solar-energy yield and performance metrics.

Mansioni

• Analyse monitoring and operational data from solar PV assets.
• Identify performance losses, anomalies and emerging technical issues.
• Support diagnostic, predictive and portfolio-benchmarking studies.
• Prepare clear reports, visualisations and client-ready recommendations.
• Work with engineers and asset-management teams to validate findings.
• Improve data-quality checks and repeatable analysis workflows.

Conoscenze

Data analysis

Spreadsheet skills

Communication skills

Attention to detail

Solar PV data experience

Python/SQL/BI tools

Solar-energy metrics knowledge

Formazione

Bachelor's degree in engineering/data science/mathematics or related

Strumenti

Python

SQL

Business Intelligence tools

Descrizione del lavoro

Turn solar-asset data into clear technical insight that helps clients improve performance and recover lost generation.

You will work with GreenEnco's pvAPM team to analyse operational data from solar assets, investigate performance issues and communicate practical findings to clients and engineering colleagues.

Key responsibilities

• Analyse monitoring and operational data from solar PV assets.
• Identify performance losses, anomalies and emerging technical issues.
• Support diagnostic, predictive and portfolio-benchmarking studies.
• Prepare clear reports, visualisations and client-ready recommendations.
• Work with engineers and asset-management teams to validate findings.
• Improve data-quality checks and repeatable analysis workflows.

Skills and experience

What you'll bring

• A degree or equivalent experience in engineering, data science, mathematics or another relevant discipline.
• Experience analysing complex datasets and explaining the results clearly.
• Strong spreadsheet skills and confidence working with data-analysis tools.
• Careful attention to detail and a structured approach to problem-solving.
• Clear written and verbal communication skills.
• The right to work in the United Kingdom.
• Experience with solar PV monitoring, SCADA or asset-management data.
• Knowledge of Python, SQL or business-intelligence tools.
• An understanding of solar-energy yield and performance metrics.

How you'll work

• Analytical and methodical approach to investigating asset performance.
• Confident communication of complex findings to technical and non-technical audiences.
• Strong attention to detail when working with operational data.
• Curiosity and willingness to improve repeatable analysis workflows.

Why Join GreenEnco?

• Work with an award-winning leader in solar innovation and optimisation.
• Collaborate on high-impact renewable projects across Europe, Asia, and beyond.
• Join a forward-thinking company driven by sustainability, technology, and trust.
• Opportunity for professional growth in a flexible and globally active team.
• Annual competitive salary (depending on relevant experience)
• Company pension scheme.
• Private medical insurance.