Performance Data Analyst
Analyze operational data across a global renewable energy portfolio to identify performance trends and anomalies, build KPIs and dashboards, and deliver reliable analytical solutions.
Responsibilities
- Analyze real-time and historical data to identify trends, anomalies, and inefficiencies and support root-cause analysis.
- Build reports, dashboards, and visualizations; define, model, and maintain asset performance KPIs.
- Validate and monitor data quality, reliability, data gaps, and sensor faults.
- Work with ETL/ELT pipelines, APIs, and external data sources.
- Develop automated and AI-driven workflows for analysis, monitoring, and operational efficiency.
- Collaborate with technical teams, asset managers, and stakeholders to improve portfolio performance.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- At least 2 years of experience in data analytics, analytics engineering, or a related role.
- Strong SQL skills and hands-on Python experience.
- Experience building dashboards and reports with BI tools; Power BI is preferred.
- Experience with ETL/ELT processes, APIs, and data integrations.
- Hands-on use of AI tools for data analysis, coding, automation, or agent-based workflows.
Nice to have
- Familiarity with cloud data platforms, preferably Microsoft Azure.