Senior Analyst-Enterprise SaaS

Role Overview: As a Senior Analyst-Enterprise SaaS specializing in the Indian power sector, your role will involve the following responsibilities: Key Responsibilities: - Developing Optimization models for the Power portfolio of State Utilities using GAMS based on Resource Adequacy guidelines. - Creating, implementing, and optimizing machine learning models (such as LSTM, XG Boost, ARIMA, SARIMA, LR, Ridge, Lasso RF) for demand and price forecasting, anomaly detection, etc. - Collaborating with cross-functional teams to integrate machine learning models into the production environment. - Managing and optimizing large-scale databases using SQL and NoSQL (MongoDB). - Building and maintaining financial models to assess and manage energy portfolios, risk assessment, and investment strategies. - Analyzing market trends, regulatory impacts, and economic factors influencing the Indian power sector. - Developing insightful and interactive visualizations using Python, Advanced Excel, Tableau, and Power BI. - Creating and maintaining dashboards for meaningful reports that monitor key performance indicators and model outputs. - System (Data) automation using VBA and Macros. - Hands-on experience in Short/Medium/Long Term Load Forecasting and Price Forecasting. - Utilizing advanced visualization techniques to support decision-making and stakeholder communication. Qualification Required: - Developing models for Power Portfolio Optimization using GAMS. - Expertise in time series analysis and forecasting techniques using machine learning. - Managing and optimizing databases like SQL and NoSQL (MongoDB). - Utilizing Python libraries like Pandas, Scipy, TensorFlow, scikit-learn for building forecasting models. - Proficiency in Advanced Excel, Power BI, VS-Code, and various tools for data analysis purposes. Additional Details: Your base location will be New Delhi, with the possibility of travel for pursuing various opportunities. The remuneration structure includes a motivation-based and competitive reward package.,