Comparación de salarios por nivel de experiencia en Perú
| # | Nivel de experienciaNivel | Profesión AProf. A | DiferenciaDif. | Profesión BProf. B | Profesión AProf. A | DiferenciaDif. | Profesión BProf. B |
|---|---|---|---|---|---|---|---|
| 1 | Junior | S/5,000PEN | S/1,000PEN | S/6,000PEN | ₿0.0183 | ₿0.0037 | ₿0.0220 |
| 2 | Semi-Senior | S/8,000PEN | S/500PEN | S/8,500PEN | ₿0.0281 | ₿0.0024 | ₿0.0305 |
| 3 | Senior | S/10,500PEN | S/500PEN | S/11,500PEN | ₿0.0379 | ₿0.0024 | ₿0.0403 |
| 4 | Supervisor | S/13,500PEN | S/500PEN | S/14,000PEN | ₿0.0476 | ₿0.0012 | ₿0.0489 |
| 5 | Gerente | S/16,500PEN | – – | S/16,500PEN | ₿0.0586 | – – | ₿0.0586 |
- ProfesiónA Científico de Datos ProfesiónA Científico de Datos
- ProfesiónB Administrador de Data Warehouse ProfesiónB Administrador de Data Warehouse
Comparación de salarios promedio por ciudad en Perú
| # | Ciudad | Profesión AProf. A | DiferenciaDif. | Profesión BProf. B | Profesión AProf. A | DiferenciaDif. | Profesión BProf. B | |
|---|---|---|---|---|---|---|---|---|
| 1 | S/9,000PEN | S/1,000PEN | S/10,500PEN | ₿0.0326 | ₿0.0037 | ₿0.0363 | ||
| 2 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 3 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 4 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 5 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 6 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 7 | S/9,000PEN | S/1,000PEN | S/10,000PEN | ₿0.0317 | ₿0.0036 | ₿0.0352 | ||
| 8 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 9 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 10 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 11 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 12 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 13 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 14 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 15 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 16 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 17 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 18 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 19 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 20 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 21 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 22 | S/8,500PEN | S/1,000PEN | S/9,000PEN | ₿0.0294 | ₿0.0033 | ₿0.0327 | ||
| 23 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 24 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 25 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 26 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 27 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 28 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 29 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 | ||
| 30 | S/7,500PEN | S/1,000PEN | S/8,500PEN | ₿0.0268 | ₿0.0030 | ₿0.0298 |
- ProfesiónA Científico de Datos ProfesiónA Científico de Datos
- ProfesiónB Administrador de Data Warehouse ProfesiónB Administrador de Data Warehouse
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