Functional Analyst
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This job advert was originally written in Portuguese.
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No Data Group, we connect people, technology, and knowledge to transform challenges into possibilities and possibilities into real impact. We are a global company in constant motion. We grow, adapt, and evolve, and we look for people who want to do the same with us.
Here, we are not just looking for those who follow the future of technology. We are looking for those who want to participate in what comes next, bringing new ideas, taking on challenges, and leaving their mark along the way. Because when talent, technology, and opportunities connect, possibilities grow.
The next step is yours. The possibilities, we build them together.
We are looking for a consultant with experience in methods and time studies to analyze the merchandise replenishment operation in large-format stores.
The project aims to determine, through on-site observation and timing, the standard replenishment times, subsequently allowing for the sizing of labor needs and the improvement of store operational planning.
· Pallet typology: homogeneous, mixed, half-pallet, 1/4 pallet, display, or other relevant typologies;
· Product family;
· Number of boxes per pallet;
· Number of SKUs/references per pallet;
· Quantity of units;
· Number of aisles/locations involved;
· Distance traveled between the stock area and the sales location;
· Typology of equipment used in movement;
· Existence of surplus stock after replenishment;
· Replenishment execution conditions, namely whether the store is open or closed to the public.
· preparation and collection of merchandise;
· movement to the sales area;
· opening/depalletizing;
· travel between locations;
· opening of boxes;
· placing the product on the shelf;
· handling of cardboard and plastic;
· management of surpluses;
· return to the stock area;
· handling of the empty pallet.
1. Methodology used for the methods and time study;
2. Sampling plan and recommended number of observations;
3. Timing of operations on the ground;
4. Database with all observations performed;
5. Statistical analysis of the times obtained;
6. Average times, median, and relevant percentiles;
7. Standard times per pallet typology/operation;
8. Productivity indicators, namely boxes/hour, pallets/hour and, when applicable, units/hour;
9. Identification of the main factors explaining the variation in replenishment time;
10. Model that allows for estimating labor hour needs based on the volume and typology of merchandise to be replenished;
11. Identification of opportunities to improve the work method.
Location: Lisbon Region
Scope: Consulting project with fieldwork in three large-format stores.
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