Forecasting Strategy Lead

Key Responsibilities

• Lead end-to-end forecasting strategy using advanced statistical and machine learning models (SARIMAX, ARIMA, LightGBM, Prophet, TFT, RNN, LSTM etc.) for complex business scenarios.
• Own forecasting lifecycle from data ingestion, preprocessing, and model development using advance feature engineering to deployment and performance optimization.
• Design scalable data pipelines and ETL processes leveraging Azure Data Factory (ADF) and other cloud-based tools.
• Implement automation and optimization for forecasting workflows to improve efficiency and accuracy.
• Develop advanced data collection techniques, including Python-based web scraping and API integrations for real-time data ingestion.
• Perform deep-dive analytics and visualization using MS Excel, Power BI, or similar tools to support decision-making.
• Collaborate with cross-functional teams (Operations, Marketing, Finance) to incorporate qualitative insights and align forecasts with business objectives.
• Ensure data security and compliance, including MFA implementation and governance standards.
• Mentor junior analysts and contribute to building forecasting best practices across the organization.
• Present strategic insights and recommendations to senior leadership through impactful reports and presentations.

Requirements

Preferred Qualifications