Solar Power Data Analyst

As a Solar Power Data Analyst at Beauty Chain Manufacturing (BCM), based in Kallakkurichchi, your role will involve collecting, cleaning, and validating solar generation, performance, and environmental data from multiple systems and monitoring platforms. You will be responsible for analyzing production trends, system efficiency, and downtime to identify performance issues, optimization opportunities, and forecast energy output. Your duties will include building dashboards and reports for operations, engineering, and management teams, presenting insights in a clear and actionable manner. Additionally, you will support root-cause analysis of underperforming assets, contribute to predictive maintenance models, and collaborate with cross-functional teams to enhance system reliability and ROI. It is essential that you document methods, maintain data quality standards, and ensure that data handling aligns with internal policies and industry best practices. Key Responsibilities: - Collect, clean, and validate solar generation, performance, and environmental data - Analyze production trends, system efficiency, and downtime - Build dashboards and reports for various teams - Support root-cause analysis of underperforming assets - Contribute to predictive maintenance models - Collaborate with cross-functional teams to improve system reliability and ROI - Document methods and ensure data quality standards are maintained Qualifications: - Strong analytical skills and applied Data Analytics experience - Solid foundation in Statistics and Data Modeling - Effective Communication skills - Proficiency with data tools such as Excel/Google Sheets and at least one analytics or visualization platform - Bachelors degree in engineering, data science, mathematics, renewable energy, or a related field - Experience working with energy, solar, or other industrial operational data is preferred - Ability to work on-site in Kallakkurichchi, collaborate with cross-functional teams, and manage multiple priorities with attention to detail As a Solar Power Data Analyst at Beauty Chain Manufacturing (BCM), based in Kallakkurichchi, your role will involve collecting, cleaning, and validating solar generation, performance, and environmental data from multiple systems and monitoring platforms. You will be responsible for analyzing production trends, system efficiency, and downtime to identify performance issues, optimization opportunities, and forecast energy output. Your duties will include building dashboards and reports for operations, engineering, and management teams, presenting insights in a clear and actionable manner. Additionally, you will support root-cause analysis of underperforming assets, contribute to predictive maintenance models, and collaborate with cross-functional teams to enhance system reliability and ROI. It is essential that you document methods, maintain data quality standards, and ensure that data handling aligns with internal policies and industry best practices. Key Responsibilities: - Collect, clean, and validate solar generation, performance, and environmental data - Analyze production trends, system efficiency, and downtime - Build dashboards and reports for various teams - Support root-cause analysis of underperforming assets - Contribute to predictive maintenance models - Collaborate with cross-functional teams to improve system reliability and ROI - Document methods and ensure data quality standards are maintained Qualifications: - Strong analytical skills and applied Data Analytics experience - Solid foundation in Statistics and Data Modeling - Effective Communication skills - Proficiency with data tools such as Excel/Google Sheets and at least one analytics or visualization platform - Bachelors degree in engineering, data science, mathematics, renewable energy, or a related field - Experience working with energy, solar, or other industrial operational data is preferred - Ability to work on-site in Kallakkurichchi, collaborate with cross-functional teams, and manage multiple priorities with attention to detail