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/5,500PEN | S/1,500PEN | S/4,000PEN | ₿0.0211 | ₿0.0053 | ₿0.0158 |
| 2 | Semi-Senior | S/8,000PEN | S/1,500PEN | S/6,000PEN | ₿0.0304 | ₿0.0066 | ₿0.0238 |
| 3 | Senior | S/10,500PEN | S/2,000PEN | S/8,500PEN | ₿0.0409 | ₿0.0079 | ₿0.0330 |
| 4 | Supervisor | S/14,000PEN | S/3,000PEN | S/11,000PEN | ₿0.0528 | ₿0.0106 | ₿0.0423 |
| 5 | Gerente | S/17,000PEN | S/3,000PEN | S/14,000PEN | ₿0.0647 | ₿0.0106 | ₿0.0541 |
- ProfesiónA Ingeniero de Datos ProfesiónA Ingeniero de Datos
- ProfesiónB Analista de Datos ProfesiónB Analista de Datos
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/11,500PEN | S/4,500PEN | S/7,000PEN | ₿0.0436 | ₿0.0173 | ₿0.0263 | ||
| 2 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 3 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 4 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 5 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 6 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 7 | S/11,000PEN | S/4,500PEN | S/6,500PEN | ₿0.0423 | ₿0.0168 | ₿0.0255 | ||
| 8 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 9 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 10 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 11 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 12 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 13 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 14 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 15 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 16 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 17 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 18 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 19 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 20 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 21 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 22 | S/10,000PEN | S/4,000PEN | S/6,000PEN | ₿0.0392 | ₿0.0156 | ₿0.0237 | ||
| 23 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 24 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 25 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 26 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 27 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 28 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 29 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 | ||
| 30 | S/9,500PEN | S/3,500PEN | S/5,500PEN | ₿0.0357 | ₿0.0142 | ₿0.0216 |
- ProfesiónA Ingeniero de Datos ProfesiónA Ingeniero de Datos
- ProfesiónB Analista de Datos ProfesiónB Analista de Datos
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