{"id":13114,"date":"2026-11-03T19:45:00","date_gmt":"2026-11-03T19:45:00","guid":{"rendered":"https:\/\/www.webuildit.tech\/careers\/analista-de-datos-senior\/"},"modified":"2026-11-03T20:07:17","modified_gmt":"2026-11-03T20:07:17","slug":"analista-de-datos-senior","status":"publish","type":"job","link":"https:\/\/www.webuildit.tech\/es\/carreras\/analista-de-datos-senior\/","title":{"rendered":"Analista de Datos Senior"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Buscamos a un\/a Analista de Datos Senior, perspicaz y con muchos recursos, para liderar el apoyo a la toma de decisiones en la estrategia de precios retail y la optimizaci\u00f3n del espacio en tienda. En este puesto analizar\u00e1s datasets de proveedores externos (de grandes marcas CPG como Coke, Pepsi y Unilever), las tendencias de precios de la competencia y m\u00e9tricas hist\u00f3ricas internas. La persona ideal destaca en la resoluci\u00f3n creativa de entidades, cruzando datos de terceros complejos y desestructurados con los cat\u00e1logos internos, y convierte esos hallazgos en insights de negocio accionables.<\/p>\n\n<h2 class=\"wp-block-heading\">Responsabilidades principales<\/h2>\n\n<ul class=\"wp-block-list\">\n<li><strong>Cruce de datos de proveedores y competencia:<\/strong> Pensar fuera de lo com\u00fan para conciliar, cruzar y analizar feeds de costos de proveedores y datos de precios de mercado heterog\u00e9neos frente al hist\u00f3rico de precios interno.<\/li>\n<li><strong>An\u00e1lisis de precios y m\u00e1rgenes:<\/strong> Modelar la elasticidad de precios, el impacto de las promociones y los cambios de margen seg\u00fan los ajustes de los proveedores y la din\u00e1mica de cada mercado local.<\/li>\n<li><strong>Apoyo a la planificaci\u00f3n del espacio:<\/strong> Colaborar con los equipos de operaciones retail y merchandising para evaluar la distribuci\u00f3n de las tiendas, el uso de los lineales, la eficacia de los planogramas y la demanda por tienda.<\/li>\n<li><strong>An\u00e1lisis exploratorio de datos:<\/strong> Consultar directamente datasets de gran escala con SQL avanzado y herramientas de anal\u00edtica en la nube (Databricks\/AWS).<\/li>\n<li><strong>Business intelligence y reportes:<\/strong> Crear dashboards ejecutivos intuitivos e informes anal\u00edticos que presenten con claridad recomendaciones estrat\u00e9gicas a stakeholders de distintas \u00e1reas.<\/li>\n<\/ul>\n\n<h2 class=\"wp-block-heading\">Requisitos<\/h2>\n\n<ul class=\"wp-block-list\">\n<li><strong>Experiencia:<\/strong> M\u00e1s de 5 a\u00f1os de experiencia como Analista de Datos, Analista de Business Intelligence o Analista de Precios en retail o CPG.<\/li>\n<li><strong>Stack principal:<\/strong> Dominio avanzado de SQL (unir datos desordenados, funciones de ventana, agregaciones complejas) y conocimiento pr\u00e1ctico de plataformas de reportes de BI.<\/li>\n<li><strong>Recursos y cruce de datos:<\/strong> Facilidad demostrada para trabajar con datasets imperfectos, mapeo de proveedores, resoluci\u00f3n de entidades y an\u00e1lisis exploratorio.<\/li>\n<li><strong>Conocimiento del retail:<\/strong> Trayectoria s\u00f3lida analizando cambios en la estructura de costos, la comparaci\u00f3n de precios con la competencia o datasets de distribuci\u00f3n y planificaci\u00f3n del espacio en tienda.<\/li>\n<li><strong>Comunicaci\u00f3n:<\/strong> Excelente capacidad para contar historias con datos y muy buena comunicaci\u00f3n oral y escrita en un esquema 100 % remoto.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Lidera el apoyo a la toma de decisiones en la estrategia de precios retail y la optimizaci\u00f3n del espacio en tienda, convirtiendo datos de proveedores, competencia e internos en insights accionables.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"job_area":[364],"job_skill":[428,373,427,424],"class_list":["post-13114","job","type-job","status-publish","hentry","job_area-soluciones-tecnologicas"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.8) - 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