Assistant Manager Instock

About the Company

Noon is a fast-growing ecosystem of digital products and services powering everyday life across the Middle East. Our mission is to deliver to every door, every day. Our hyper-local delivery platform, Noon Minutes, provides a broad range of FMCG and grocery items with deliveries in under 15 minutes across UAE and Saudi Arabia.

Job Overview

The Assistant Manager Instock plays a critical role in maintaining optimal stock availability and inventory health across assigned categories, including Food and Non-Food items. This position focuses on efficient management of demand forecasting, replenishment, stock levels, and warehouse space utilization to reduce out-of-stock situations and minimize excess inventory.

Key Responsibilities

• Ensure instock performance and availability within the assigned product category.
• Develop and maintain demand forecasts and replenishment strategies while leading the Sales & Operations Planning (S&OP) cycle.
• Monitor inventory levels diligently, tracking out-of-stock, overstock, and waste metrics.
• Optimize warehouse space allocation and capacity planning.
• Support promotional activities and seasonal inventory planning.
• Work closely with commercial and operations teams to align inventory strategies.
• Provide data-driven insights based on sales, inventory, and space utilization metrics.

Qualifications and Skills

• Bachelor’s degree in B.Tech or a related discipline.
• 2 to 4 years' relevant experience in supply chain management, inventory planning, category operations, or business analytics preferably in e-commerce, quick commerce, retail, or FMCG sectors.
• Proficiency in SQL for manipulating large datasets independently.
• Advanced skills in Excel or Google Sheets for creating models, pivot tables, and reliable reporting tools.
• Strong understanding of inventory management principles, including safety stock calculation, reorder points, lead times, coverage, and service level optimization.
• Experience with demand forecasting and time-series analysis concepts such as trends, seasonality, and forecast accuracy metrics (MAPE, WMAPE).
• Keen analytical mindset for identifying anomalies in data and diagnosing underlying causes.
• Effective communication and stakeholder management skills to coordinate with buyers, warehouse staff, and operations leadership regularly.
• Proactive and adaptable, with a bias toward taking action in fast-paced, ambiguous environments.
• Basic proficiency in Python for data analysis and workflow automation, including use of pandas and scripting techniques.
• Experience with statistical or machine learning forecasting methods like ARIMA, ETS, regression, or gradient boosting, or familiarity with commercial forecasting/replenishment tools.
• Previous exposure to dark stores, micro-fulfilment centers, or managing perishable goods inventory.
• Knowledge of business intelligence platforms such as Looker, Power BI, or Tableau.

Desired Personal Attributes

• High standards of quality and work ethic.
• Resourcefulness paired with a strong drive for execution.
• Creativity and originality in problem-solving.
• Flexibility and willingness to learn, adapt, and pivot in a rapidly evolving environment.