Performance Analysis Associate

Quintas Energy; Sevilla; Hybrid; EUR 32,000 - 52,000; Full time

Benefits offered by this job

Paid breaks

Hybrid work

22 days holiday

Home-office equipment

Job summary

Quintas Energy is seeking an analytical and detail-oriented Performance Analysis Associate to join our Technical Asset Management team to support performance analysis for solar PV assets across multiple portfolios.

We offer a 9 to 5 schedule with flexibility to work from home up to 2 days per week, 22 days of holiday, and additional benefits such as social time off during year-end dates and birthday leave after tenure.

Qualifications

• Engineering or related technical studies. Final-year candidates accepted.
• Excel skills for data cleaning, formulas and large datasets.
• Numerical analysis, attention to detail and structured problem solving.
• Clear technical communication and ability to work across teams.
• B2 English level.

Responsibilities

• Review PV performance and identify deviations from expected output.
• Validate production, irradiation and SCADA/meter data quality.
• Calculate and check production, PR and availability KPIs.
• Record, classify and follow up incidents in QEC with the team.
• Quantify production losses and reconcile incidents with KPI totals.
• Investigate inverter, tracker and string underperformance.
• Prepare reports and concise loss explanations.
• Coordinate data queries and follow-up with O&M, AM and Control Room.
• Support asset onboarding, SCADA access and data completeness checks.
• Test data / KPI improvements with IT and elevate tool / data issues.

Skills

Excel

Numerical analysis

Attention to detail

Cross-team communication

B2 English

Education

Engineering or related technical studies

Tools

Python

SQL

Power Query

VBA

Job description

Quintas Energy provides specialist back-office and asset management services to investors in the renewable energy sector. Our knowledge of the renewable energy markets where we operate, combined with the expertise of our engineering, accounting, legal, ICT and advisory teams, helps our clients create value through superior management and provides assurance through timely, accurate reporting.

At Quintas Energy, we want to accelerate the energy transition. We are looking for an analytical and detail-oriented Performance Analysis Associate to join our Technical Asset Management team and support the performance analysis of solar PV assets across multiple portfolios.

Key Responsibilities:

• Review PV performance and identify deviations from expected output.
• Validate production, irradiation and SCADA/meter data quality.
• Calculate and check production, PR and availability KPIs.
• Record, classify and follow up incidents in QEC with the team.
• Quantify production losses and reconcile incidents with KPI totals.
• Investigate inverter, tracker and string underperformance.
• Prepare reports and concise loss explanations.
• Coordinate data queries and follow-up with O&M, AM and Control Room.
• Support asset onboarding, SCADA access and data completeness checks.
• Test data / KPI improvements with IT and elevate tool / data issues.

What are we offering in return:

• Direct exposure to the business.
• 9 to 5 schedule with 60 minutes of paid break
• Flexible Payment Plan
• 22 days of holiday
• Other social benefits as paid time off on December 24th and 31st, as well as on your birthday starting from the second year of your contract. Moreover, you will receive one extra day of vacation for every three years of employment up to 5 extra days!
• Flexibility to work from home up to 2 days per week
• Office equipment for home-working

Requirements:

Mandatory:

• Engineering or related technical studies; final-year candidates accepted.
• Excel skills for data cleaning, formulas and checking large datasets.
• Numerical analysis, attention to detail and structured problem solving.
• Clear technical communication and ability to work across teams.
• B2 English level

Desirable:

• PV monitoring, SCADA and understanding of PR / availability / losses.
• Relevant experience in renewables, O&M or technical data analysis.
• Python, SQL, Power Query or VBA for data analysis / automation.