Data Analyst – Energy Sector Industrial Projects

Key Responsibilities

• Data Acquisition & Integration

o Collect and process data from energy systems (SCADA, DCS, IoT sensors, smart meters).

o Integrate data from multiple sources including ERP, CMMS, and energy management systems.

• Analytics & Modeling

o Perform trend analysis, load forecasting, and predictive maintenance modeling.

o Develop algorithms for energy efficiency optimization and cost reduction.

• Visualization & Reporting

o Create dashboards for KPIs such as energy output, efficiency, downtime, and emissions.

o Present actionable insights to engineering, operations, and management teams.

• Performance Monitoring

o Track asset health and reliability metrics for turbines, generators, and transformers.

o Support root cause analysis for outages and performance anomalies.

• Compliance & Sustainability

o Ensure data accuracy for regulatory reporting and sustainability initiatives.

o Support ESG reporting and carbon footprint analysis.

Bachelor’s degree in Data Science, Electrical Engineering, Energy Systems, or

related field.

• 4+ years of experience in data analytics within energy or industrial environments.

• Proficiency in Python, SQL, and visualization tools (Power BI, Tableau).

• Familiarity with SCADA/DCS systems and energy data protocols (OPC-UA, IEC

61850).

• Strong statistical and forecasting skills (time-series analysis, regression).

• Excellent communication and stakeholder engagement skills.

Preferred Qualifications

• Master’s degree in Energy Analytics or Industrial Engineering.

• Experience with renewable energy data (solar, wind) and grid analytics.

• Knowledge of energy market dynamics and regulatory frameworks.

• Familiarity with cloud platforms (Azure IoT, AWS Energy Data Services).

What You’ll Bring

• Passion for clean energy and operational excellence.

• Ability to translate complex data into actionable insights.

• Innovative mindset for digital transformation in energy operations.