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Enlight

Performance Data Analyst

Enlight Rosh HaAyin, Center District, Israel

Renewable Energy Power Generation · 201-500 employees

7 h ago
data-analyst Mid (2-5 yrs) Full-time Israel
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About the role

The role involves analyzing operational data from renewable energy assets to identify performance trends and inefficiencies. You will design dashboards, maintain KPIs, and implement automated, AI-driven workflows to support data-driven decision-making.

What they look for

SQL Python Power BI Data Analysis ETL/ELT Data Visualization KPI Modeling Automation AI-driven Workflows Data Integration Cloud Platforms Microsoft Azure Root-cause Analysis Data Quality Monitoring Problem-solving Communication

Requirements

Candidates must hold a Bachelor's degree in Computer Science, Engineering, or a related field with 2-3 years of experience in data analytics. Proficiency in SQL, Python, and BI tools like Power BI is required, along with experience in ETL processes and data integration.

Full description

Join Enlight’s Data & Analytics team and turn complex operational data into actionable insights that improve the performance of our global renewable energy portfolio across PV, BESS, and Wind. You’ll analyze SCADA, meteorological, metering, and market data to identify trends and anomalies, build meaningful KPIs and dashboards, and support data-driven decision-making. The role combines hands-on data analysis with data integrations, automation, and AI-driven workflows to deliver reliable and scalable analytical solutions.

Responsibilities

  • Analyze real-time and historical data to identify performance trends, anomalies, and inefficiencies, and support root-cause analysis.
  • Design and build reports, dashboards, and visualizations to drive data-driven decision-making.
  • Define, model, and maintain KPIs used to measure asset performance.
  • Ensure data quality and reliability through validation, monitoring, and detection of data gaps and sensor faults.
  • Work with ETL/ELT pipelines, APIs, and external data sources to support analytical needs.
  • Build automated and AI-driven workflows to improve analysis, monitoring, and operational efficiency.
  • Collaborate with technical teams, asset managers, and stakeholders to improve portfolio performance.

Requirements

  • B.Sc. in Computer Science, Information Systems, Engineering, or a related field.
  • 2–3 years of experience in data analytics, analytics engineering, or a related role.
  • Strong SQL skills and hands-on experience with Python.
  • Experience with BI tools (preferably Power BI), including building well-structured dashboards and reports.
  • Experience working with ETL/ELT processes, APIs, and data integrations.
  • Hands-on experience using AI tools for data analysis, coding, automation, or agent-based workflows.
  • Familiarity with cloud data platforms (preferably Microsoft Azure) – an advantage.
  • Analytical, detail-oriented mindset with strong problem-solving and communication skills.

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