Supply analyst
| Highest | $6,100 / mo · Switzerland |
|---|---|
| Experience | 2–4 yrs |
| Degree | Not required |
| First paycheck | 3–4 years of undergraduate study |
Pay in the destination countries
Monthly, in US dollars. Each country is an Imora admission package — open one for that route's fees, language requirement and deadline.
| Country | Monthly |
|---|---|
| SwitzerlandIELTS 6.5 · CHF 0.9–8k | $6,100max |
| United StatesTOEFL 80–100 · $10–70k | $5,800 |
| NorwayIELTS 6.0–6.5 · NOK 130–260k | $5,450 |
| DenmarkIELTS 6.5 · DKK 45–135k | $5,100 |
| GermanyIELTS 6.5 · €0–3k | $4,750 |
| FinlandIELTS 6.0–6.5 · €6–18k | $4,750 |
What does the day look like?
You work a standard 40-hour office week during regular daytime business hours. Night shifts are not typical, though overtime may occur during peak retail seasons like Q4 and Black Friday, or during major ERP system cutovers. About 25% of your time is spent modeling inventory across distribution centres and third-party warehouses, calculating Days of Inventory (DOI) and safety stock levels, and identifying slow-moving or obsolete inventory (SLOB) using Microsoft Excel (Power Query, XLOOKUP), SAP ERP (MM, PP, SD modules), Oracle NetSuite, or Microsoft Dynamics 365 Supply Chain. Another 25% involves reconciling sales forecasts against factory capacity and purchase lead times using Material Requirements Planning (MRP) tools such as SAP IBP, Blue Yonder, or Kinaxis RapidResponse.
Around 20% of your day goes into writing SQL queries to extract data from warehouse management systems and building visual dashboards in Microsoft Power BI or Tableau to track KPIs like On-Time In-Full (OTIF) and freight costs. The remaining time is split between operational troubleshooting of delayed shipments and corrupted master data (20%), and cross-functional meetings with sales and procurement teams (10%). The glamorous side—designing strategic logistics networks and automated dashboards—takes only about 20% of your day. The other 80% is the grind of cleaning inconsistent spreadsheets from freight forwarders, tracing missing delivery notes, fixing ERP transaction errors, and reconciling warehouse count mismatches.
Where does this lead?
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