
Data Analyst for Energy Load Forecasting
5 days ago
We are seeking a highly motivated data analyst with a strong passion for energy and technology. In this role, you will be responsible for developing and refining energy load forecasting models using advanced time series analysis techniques. Your insights will directly support business planning and decision-making across the organization.
Key Responsibilities- Develop and enhance energy load forecasting models using time series forecasting, statistical modeling, and machine learning algorithms.
- Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy.
- Investigate discrepancies between forecasted and actual energy usage, providing actionable insights to stakeholders.
- Relevant experience in data science, preferably in energy load forecasting, demand prediction, or a related field.
- Strong expertise in time series analysis, statistical modeling, and data visualization.
- Proficiency in Python, with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels.
- Experience with SQL and handling large datasets.
We offer a dynamic work environment that encourages collaboration, innovation, and continuous learning. Our team is passionate about delivering high-quality solutions that drive business results.
We value diversity and inclusion, and we are committed to creating an equitable workplace that supports the growth and development of our employees.
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