Job Description

What you will do

As an Operational Asset Reporting Specialist, you will connect operational data with Asset Management decision-making. You will define and interpret renewable performance KPIs, develop clear reporting requirements and dashboards, validate data quality and help drive adoption of digital asset solutions across Greenvolt operations.

Main responsibilities

• Define, document and maintain operational KPIs, calculation rules and business definitions across assets, countries and renewable technologies.
• Collect and structure reporting requirements from Asset Management and leadership stakeholders.
• Specify and build Power BI dashboards and reports, ensuring clear performance views, consistent logic and validated data sources.
• Analyse portfolio and asset performance, support benchmarking and investigate material deviations or unexpected trends.
• Validate operational data from platforms, flag anomalies and coordinate root-cause analysis.
• Translate operational needs into use cases, functional requirements, priorities and acceptance criteria for digital asset solutions.
• Support user acceptance testing, business readiness, adoption and value tracking following implementation.
• Coordinate with Asset Management, Energy Management, OT Integration & Data and IT Data & Analytics on reporting and digital initiatives.

Requirements

What we are looking for

• +4 years of experience in renewable asset performance, operations analytics, business intelligence or operational reporting.
• Experience analysing operational data from solar PV, wind, BESS, utilities or comparable infrastructure assets.
• Demonstrated experience defining and interpreting operational KPIs and presenting performance insights to stakeholders.
• Experience gathering business requirements and translating them into reporting or digital solutions.
• Strong Microsoft Power BI capability, including data modelling, DAX, Power Query and effective dashboard design.
• Good knowledge of renewable KPIs such as availability, performance ratio, production, losses and downtime.
• Strong analytical and data-visualization skills, with sufficient SQL knowledge to validate and investigate datasets.
• Knowledge of data-quality controls, reconciliation, KPI governance and reporting documentation.
• Ability to analyse time-series and multi-asset operational data and distinguish performance events from data issues.

Nice to have

• Degree in Engineering, Energy, Data Analytics, Business Intelligence or a related field.
• Knowledge of Microsoft Fabric, Python or R, SCADA or historian data, forecasting or anomaly detection.