Senior Analyst/ Analyst- Enterprise SaaS

Detailed expectations from the role:

• To be a key member of the Business Analytics and Demand Forecasting software solution project team and ensure client satisfaction with the successful execution of the assignment reliable and more accurate Demand/Supply forecast so that proper energy planning of state / utility could be achieved with the prime objective to provide best possible power portfolio optimization solutions.
• Thoroughly review the developed software’s on day to day basis to ensure it is ready for real-time operation and resolve all issues raised by the client.
• Maintain the accuracy of Load forecasting and other forecasts, including Renewable Energy (RE), price, and agriculture forecasts, to ensure (MAPE) remains within the stipulated SLA limits.
• To manage and deliver various tasks related to day-to-day buy/sell trades, price forecasting, financial analysis, demand / supply planning and cost optimization under the Energy Portfolio Management services to the satisfaction of the client.
• To support the Client in various allied activities related to energy trading and accounting under the EPM services.
• To prepare periodic reports (daily / weekly / monthly/ short term/ Medium Term and Long term) along with its financial implications.
• Managing the power portfolio management through energy optimization tools in manual mode as well as developed SaaS solutions.
• Keep a track of generation schedules from different generators/suppliers and analyze day to day activities of power portfolio management like Decision for Reserve Shutdown, Energy Exchange scenario, Banking proposals analysis etc.
• To assist client in Power Market Scenarios and Energy Portfolio Risk Management.
• To review and provide comments on regulatory drafts, notifications, and regulations, and to prepare reports in compliance with the regulations enforced by the Commission, as and when required by the client.                                 .Strong proficiency in Python programming (must be able to design and write production-grade code).

. Experience with time series forecasting techniques (ARIMA, SARIMA, LSTM, XGBoost, or similar).

. Hands-on experience with data analysis libraries: Pandas, NumPy, SciPy.