Renewables Data Analyst: Insightful Modeling & Dashboards

TOA Global; Cebu City; Hybrid; PHP 360,000 - 720,000; Full time

Job summary

TOA Global is seeking a Data Analyst to join a specialized analytics team supporting renewable energy projects. You will process time-series data, validate data integrity from SCADA sources, and deliver insights for Australian stakeholders.

The role emphasizes model maintenance, KPI calculations, and development of client-ready reports and dashboards, with a hybrid work arrangement in Mandaluyong/Cebu.

Qualifications

• Bachelor's degree or equivalent in Engineering, Data Analytics, Renewable Energy, or related field.
• Experience analyzing time-series data in energy or technical operations.
• Proficiency in Python, Excel, and SQL for data processing.
• Familiarity with SCADA, Power BI, and dashboards.
• Strong communication and problem-solving skills.

Responsibilities

• Onboard and integrate new renewable energy assets, including SCADA interfaces and reporting tools.
• Acquire, clean, and process operational data from SCADA systems and monitoring platforms; resolve data issues.
• Perform time-series data analysis across Solar, Wind, and BESS assets to identify underperformance and losses.
• Compute complex contractual availability and performance ratios per EPC and O&M agreements.
• Build and maintain automated calculation models and reporting tools for monthly analysis.
• Prepare detailed client reports, interactive dashboards, and charts to communicate metrics.
• Collaborate with Asset Managers, technical teams, OEMs, and site operators to resolve data discrepancies.

Skills

Python

SQL

Excel

Data analysis

Education

Bachelor's degree in Engineering/Data Analytics/ Renewable Energy

Tools

Power BI

SCADA systems

Job description

TOA Global is seeking a Data Analyst to join a specialized analytics team supporting renewable energy projects. You will process time-series data, validate data integrity from SCADA sources, and deliver insights for Australian stakeholders.

The role emphasizes model maintenance, KPI calculations, and development of client-ready reports and dashboards, with a hybrid work arrangement in Mandaluyong/Cebu.