وظيفة مساعد مدير المخزون في نون بالرياض

About noon:

We’re building an ecosystem of digital products and services that power everyday life across the Middle East-fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day.

Noon’s fastest hyper-local delivery platform, Noon Minutes, offers a localized assortment of FMCG & grocery products with delivery within 15-minutes. Currently live across the UAE and Saudi Arabia, offering thousands of products to customers in record time.

noon’s mission: Every door, every day.

What you'll do:

The Assistant Manager Instock ensures optimal stock availability, inventory health, and efficient use of warehouse space for assigned categories (Food / Non-Food). The role manages demand forecasts, replenishment, stock levels, and space/capacity planning while minimizing out-of-stock % and excess inventory.

• Bachelor’s Degree B.tech or any related field.
• Own instock performance and availability for assigned category.
• Build and maintain forecasts, replenishment plans, and leading S&OP cycle.
• Monitor stock levels, OOS, overstock, and waste.
• Plan and optimize warehouse space and capacity usage.
• Support promotions and seasonal planning.
• Collaborate closely with Commercial and Operations teams.
• Provide actionable insights from sales, inventory, and space utilization data.

What you'll need:

• 2-4 years of experience in supply chain, inventory planning, category operations, or business analytics - ideally in e-commerce, quick commerce, retail, or FMCG.
• Strong SQL. You can pull, join, and aggregate large datasets yourself without waiting for an analyst.
• Advanced Excel/Google Sheets. Comfortable building models, pivots, and reporting that others rely on.
• Solid grounding in inventory fundamentals: safety stock, reorder points, lead time, coverage, service level.
• Working knowledge of demand forecasting - you understand time-series behaviour (trend, seasonality, intermittency), know how baseline forecasts are built and adjusted, and can measure and interpret forecast accuracy and bias (MAPE, WMAPE, forecast error). You don't need to build the model, but you must be able to tell a good forecast from a bad one and explain why it missed.
• Strong analytical instinct - you can look at a number, know it's wrong, and find out why.
• Clear communication and stakeholder management. You'll be coordinating with buyers, warehouse managers, and ops leads daily.
• Bias for action and comfort with ambiguity. Quick commerce moves fast and the answer is rarely sitting in a report already.
• Python for analysis and automation (pandas, basic scripting).
• Hands-on experience with statistical or ML forecasting methods (ARIMA/ETS, regression, gradient boosting) or with a commercial forecasting/replenishment system.
• Experience working with dark stores, micro-fulfilment, or perishables.
• Familiarity with BI tools (Looker, Power BI, Tableau).

Who will excel?

• We’re looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.