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Cada Data Analyst en diiirect pasa una evaluación de habilidades específica del puesto y una revisión humana. Contrata directamente: sin agencias, sin intermediarios.
No tomamos los currículums al pie de la letra. Cada Data Analyst completa una evaluación específica del puesto (unos 12 minutos), y nuestro equipo revisa los resultados, para que tu lista corta refleje capacidad demostrada, no coincidencia de palabras clave.
Base anual estimada, USD. Contratar globalmente amplía tu presupuesto: consulta la guía de salario de Data Analyst completa para ver los desgloses regionales.
Publica un puesto de Data Analyst y obtén una lista corta revisada por personas de candidatos evaluados en habilidades.
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What does a Data Analyst do?
They take business questions, pull and clean the relevant data (typically with SQL), analyze it, and communicate clear, actionable answers — often through dashboards and reports. The job is as much about asking the right question and explaining results as it is about the technical analysis.
What skills does a Data Analyst need?
Strong SQL is essential, alongside a BI/visualization tool (Tableau, Looker, or Power BI), solid spreadsheet skills, and a working grasp of statistics. Python or R and basic data-modeling awareness are common differentiators, and clear communication is what separates good from great.
How much does a Data Analyst earn?
Pay varies significantly by region, industry, and seniority, and overlaps with adjacent roles like analytics engineer. See the estimated compensation section above for regional medians.
What's the difference between a Data Analyst and a Data Scientist?
Analysts focus on describing and explaining what happened to drive decisions, leaning on SQL, BI tools, and applied statistics. Data scientists lean further into predictive modeling, machine learning, and heavier programming, though the line blurs at many companies.