Vender linea de servicios a PYME, asesorando a cartera de clientes actual y ampliar cartera.
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Marketing online y diseño web. Gestión de pedidos y stock. Interesados/as apuntarse en la oferta. Se precisa persona RESOLUTIVA (menor de 30 años) para empresa...
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Se precisa ayudante técnico informático para dar asistencia al jefe de informática en las siguientes tareas: -Control y mantenimiento copias de seguridad (NAS, Cintas LTO) -Mantenimiento hardware y software de la empresa -Resolución incidencias ERP -Mantenimiento dispositivos Cisco (BE4000) -Configuración y mantenimiento iPads y telefonía móvil -Mantenimiento redes y telecomunicaciones Se busca un perfil de estudiante de FP Grado Medio en Sistemas Microinformática y redes, con un nivel de inglés básico y con un buen conocimiento de las herramientas office.
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- Asegurar el cumplimiento de la política de la empresas en este campo. - Verificar que los objetivos que se han planteado en las etapas previas se cumplan dentro de los plazos previstos y con los recursos que han sido asignados. - Administrar la documentación relacionada con los procesos de calidad
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- Asegurar el cumplimiento de la política de la empresas en este campo. - Verificar que los objetivos que se han planteado en las etapas previas se cumplan dentro de los plazos previstos y con los recursos que han sido asignados. - Administrar la documentación relacionada con los procesos de calidad
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Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics
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Administrativo para departamento laboral. Realización de tareas como confección de nóminas, preparación y envío de Seguros Sociales, tramitación de partes de accidentes y bajas por contingencias comunes, altas y bajas en la Seguridad Social, confección de contratos de trabajo, finiquitos, etc.
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Debido a la ampliación de cargas de trabajo buscamos un programador web para desarrollo aplicaciones web con: Necesaria un mínimo de experiencia en: - ASP Clásico/.NET o VB * Importante - Las aplicaciones atacan a BBDD SQL Server/Mysql - HTML/5 - Javascript- PHP *Deseable algún framework tipo Laravel. - HTML Responsive (plantillas bootstrap) Plus conocimientos extras de otras vertientes informáticas. - Buscamos un perfil recién titulado en FP2 rama desarrollo o estudiante FP2 (que quiera realizar prácticas), o estudiante universitario que quiera compaginar estudios o guru interesado en realizar media jornada (4h) de mañanas. .- Proactivo y resolutivo. - Viva en Rubí o en poblaciones colindantes (estamos a 1 minuto caminando de FGC) Ofrecemos - Contrato temporal prorrogable. - Buen ambiente de trabajo. - Sueldo según convenio o valia revisable. - Según se desarrolle la actividad de la empresa posibilidad de ampliar horario.
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While every day as a Community Manager is different, this is what the role's responsibilities may include: 1. Content creation - writing blog posts, articles, newsletters, communications materials, and material for social media channels 2. Social media marketing - creating, managing and growing the company's presence through blogs, Twitter, Facebook, and other strategically relevant online properties 3. Events and event planning - attending industry events in your city (often outside of 9-5 hours) and planning meetups for your community 4. Public relations - (note: some companies may have devoted PR departments so this may not be relevant) managing incoming media requests and building relationships with industry journalists; creating, executing and measuring media campaigns 5. Customer relations - the Community Manager is often responsible for customer support - answering questions however they come in (phone, e-mail, Twitter) and managing any online feedback forums such as GetSatisfaction pages 6. Communications/marketing strategy - the Community Manager is responsible for creating strategic marketing/communications plans to provide direction for the company's public-facing communications 7. Analytics - Using Google Analytics and other measurement tools to provide reports on metrics, and continually find ways to improve on those metrics through testing and new initiatives 8. Business development - Depending on the company and depending on how senior the role is, a Community Manager can also be responsible for business development and sales
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Basic Statistics: At least a basic understanding of statistics is vital as a data scientist. An interviewer once told me that many of the people he interviewed couldn't even provide the correct definition of a p-value. You should be familiar with statistical tests, distributions, maximum likelihood estimators, etc. Think back to your basic stats class! This will also be the case for machine learning, but one of the more important aspects of your statistics knowledge will be understanding when different techniques are (or aren't) a valid approach. Statistics is important at all company types, but especially data-driven companies where the product is not data-focused and product stakeholders will depend on your help to make decisions and design / evaluate experiments. Machine Learning: If you're at a large company with huge amounts of data, or working at a company where the product itself is especially data-driven, it may be the case that you'll want to be familiar with machine learning methods. This can mean things like k-nearest neighbors, random forests, ensemble methods - all of the machine learning buzzwords. It's true that a lot of these techniques can be implemented using R or Python libraries - because of this, it's not necessarily a dealbreaker if you're not the world's leading expert on how the algorithms work. More important is to understand the broadstrokes and really understand when it is appropriate to use different techniques.
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