Data Analyst (Demand Forecasting)

About The Role

Demand Forecasting Analyst

Key Responsibilities

• Develop, implement, and maintain demand forecasting models tailored to retail business needs.
• Analyze historical sales data, seasonal patterns, promotions, and external market factors to improve forecast accuracy.
• Collaborate with cross-functional teams (merchandising, supply chain, finance) to understand business requirements and translate them into forecasting solutions.
• Leverage AWS services (Amazon Forecast, S3, Lambda, Glue, Redshift, QuickSight, SageMaker, etc.) for data preparation, modelling, deployment, and reporting.
• Continuously monitor forecast performance and refine models to reduce forecast error (MAPE, WAPE, etc.).
• Provide actionable insights and recommendations to stakeholders for inventory management, pricing, and demand planning.
• Create dashboards and reports to track key forecasting KPIs for business teams.
  

Required Qualifications

• 1–2 years of experience in demand forecasting within retail (FMCG, e-commerce, fashion, or grocery retail preferred).
• Strong understanding of retail demand drivers such as seasonality, promotions, new product launches, and external factors.
• Hands-on experience with AWS services such as:
• Amazon Forecast for building forecasting models.
• Amazon S3, Glue, Redshift for data storage and ETL.
• Amazon SageMaker for model customization and fine-tuning.
• Amazon QuickSight for reporting and dashboards.
• Proficiency in Python for data analysis and modelling.
• Familiarity with forecasting methods (ARIMA, DeepAR, Prophet, ML-based forecasting, regression, etc.).
• Strong analytical skills with the ability to interpret data and provide business insights.
• Excellent communication and presentation skills to interact with both technical and non-technical stakeholders.
  

Good to Have

• Experience with time-series modelling in retail.
• Knowledge of inventory optimization and supply chain planning.
  

Why Join Us?

• Opportunity to work on cutting-edge demand forecasting projects in the retail domain.
• Leverage AWS cloud-native solutions for scalable, real-world impact.
• Collaborate with business and technology leaders to shape retail strategy.
• Fast-paced, growth-oriented environment with career development opportunities.