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/6,000PEN | S/500PEN | S/5,000PEN | ₿0.0230 | ₿0.0027 | ₿0.0203 |
| 2 | Semi-Senior | S/9,000PEN | S/1,500PEN | S/7,000PEN | ₿0.0352 | ₿0.0068 | ₿0.0284 |
| 3 | Senior | S/12,000PEN | S/2,500PEN | S/9,500PEN | ₿0.0474 | ₿0.0095 | ₿0.0379 |
| 4 | Supervisor | S/15,500PEN | S/4,000PEN | S/11,500PEN | ₿0.0609 | ₿0.0149 | ₿0.0460 |
| 5 | Gerente | S/19,000PEN | S/5,500PEN | S/13,500PEN | ₿0.0758 | ₿0.0217 | ₿0.0542 |
- ProfesiónA Ingeniero de Machine Learning ProfesiónA Ingeniero de Machine Learning
- ProfesiónB Desarrollador BI ProfesiónB Desarrollador BI
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/10,500PEN | S/2,000PEN | S/8,500PEN | ₿0.0410 | ₿0.0069 | ₿0.0341 | ||
| 2 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 3 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 4 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 5 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 6 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 7 | S/10,000PEN | S/1,500PEN | S/8,500PEN | ₿0.0398 | ₿0.0067 | ₿0.0331 | ||
| 8 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 9 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 10 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 11 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 12 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 13 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 14 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 15 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 16 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 17 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 18 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 19 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 20 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 21 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 22 | S/9,500PEN | S/1,500PEN | S/8,000PEN | ₿0.0369 | ₿0.0062 | ₿0.0307 | ||
| 23 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 24 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 25 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 26 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 27 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 28 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 29 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 | ||
| 30 | S/8,500PEN | S/1,500PEN | S/7,000PEN | ₿0.0336 | ₿0.0057 | ₿0.0280 |
- ProfesiónA Ingeniero de Machine Learning ProfesiónA Ingeniero de Machine Learning
- ProfesiónB Desarrollador BI ProfesiónB Desarrollador BI
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