... environments. ✍️ WHAT WOULD YOU NEED? ✍️ - 7+ years of experience in Data Migration, Data Architecture, or related roles. - Strong experience leading enterprise-wide data migration initiatives . - Solid knowledge of Data Management, Data Quality, Data Governance, and Master Data Management . - Experience working with ERP platforms ...
... key role in contributing to sustainable economic growth. Minimum requirements Education - Bachelor's or master's degree in quantitative disciplines, such as engineering, Data Science, Physics, or similar. - Specific training in Machine Learning, Artificial Intelligence, or Advanced Analytics will be valued. Experience - ...
This job was automatically translated to English, see original posting . About the role At Adecco, we are looking for an After-Sales Data Analyst for a multinational company located in Alcobendas . The person in this position will be responsible for coordinating and managing IT tools for data analysis and publication, as ...
... analytical judgment to complex questions, manage stakeholder expectations, and unblock work in a fast-paced environment. What we're looking for - 6+ years in data analytics, business analytics, or data science, including meaningful experience managing, coaching, or developing analysts. - Demonstrated success leading teams, ...
... proactiva y tirar del carro cuando te toque, es posible que Keepler sea el sitio donde deberías trabajar. ¿Te interesa? Echa un vistazo a nuestra vacante de Data Architect AWS. ¿En qué participarás? Como Data Architect, liderarás el equipo de servicios Big Data, trabajando sobre plataformas y productos de datos que requieren ...
... such a candidate. A few examples of your responsibilities - Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks. - Ensure data correctness and scalability. Work closely with software engineers to ...
... deberías trabajar. ¿Te interesa? Echa un vistazo a nuestra vacante de Data Architect GCP. ¿En qué trabajarás? - Se requiere de un perfil Cloud Architect Big Data que tenga conocimiento y experiencia en el diseño, desarrollo y productivización de arquitecturas de datos corporativas Big Data y aplicaciones/productos de datos. ...
... Participation in the development of specific analysis and control tools for different data sources to provide required datasets. Responsibilities And Duties Compiling data and department‐specific KPIs. Preparing reports for executive management level. Ensuring data quality and identifying areas for action when data deviates from ...
DATA SCIENTIST – MODELOS COMERCIALES Descripción de la compañía Somos una organización líder del sector financiero con una sólida trayectoria en innovación, transformación digital y analítica avanzada. Apostamos por el uso estratégico de los datos para impulsar la toma de ...
... the speed and quality of product decisions, and help Product teams adopt a culture of evidence-based decision making. You will partner closely with Product, Engineering, Data Science, Analytics, and Executive leadership to ensure experiments are designed, executed, analyzed, and interpreted consistently across the organization. ...
... this role. Tech stack - SQL - Python (pandas, numpy, scipy, scikit-learn, xgboost) - Data visualization (Tableau, Mode, Matplotlib, ggplot, or similar) - Big data tools (AWS, Spark, Redshift) What will you do - Lead large-scale data science projects in collaboration with product, engineering, and operations teams. - Guide ...
... Excelente nivel de programación en Python para análisis de datos, modelización y automatización. - Conocimiento sólido de librerías de data science y machine learning (p.ej. scikit-learn, pandas, NumPy) - Excelente nivel de SQL/Big Query para extracción, transformación y análisis de ...
... You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability ...
En SDG Group llevamos más de 30 años convirtiendo datos en impacto real. Somos una consultora global 100% especializada en Data, Analytics e Inteligencia Artificial, referente del sector según Gartner, Penteo y Everest Group. Somos especialistas, y eso nos da una profundidad técnica y un conocimiento ...
... landscape. As a Data Migration Manager, you'll often be required to; What you'll do - Advise clients on their data migration, data quality, data integration and data architecture challenges, helping them to develop business strategies for data in readiness for digital transformation journeys. Master data management, SAP MDG ...
... Avanzado: Realizar manipulaciones de datos y análisis estadísticos apoyándote en Excel y consultas SQL avanzadas. - Experiencia: Mínimo 4-5 años trabajando como Data Analyst Senior o Analytics Engineer. - SQL & BigQuery: Dominio avanzado de SQL e historial trabajando con arquitecturas en BigQuery (GCP) . - Ecosistema Looker: ...
... high-impact initiatives across Business, Operations, and Product areas, partnering closely with business stakeholders, engineers, and analytics teams. You will own data science and BI projects end-to-end - from problem definition and experimentation to model deployment and monitoring - using large-scale datasets and ML infrastructure. ...
... factual accuracy, or comparing responses - when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... deliberately broad, high-ownership analytics role rather than a report-building one. You will own data quality, cataloging, and the semantic definitions that make our data AI-ready, and you will partner closely with your data engineering counterpart – defining the business needs and data requirements, and collaborating with them ...