... management in the context of data-driven analytics projects in business intelligence and data science Establishment and implementation of the data governance roadmap Introduction of data management methods and technologies with ...
... – without access to high-quality data and a scientifically rigorous, transparent ... direction and integrity of our data science platform, projects, and products. ... imaging Have experience with biomedical data processing and analysis We are ...
... have ownership over the entire data lifecycle and collaborate closely with platform engineers, data engineers, and data scientists to develop the foundation ... Knowledge: Basic experience working with Data Science or Machine Learning frameworks ...
... process for managing customer master data- Develop actionable reporting to monitor data requirements and identify areas for ...
... Lead Marco Pennacchiotti - Head of Data Science and Data Engineering I joined Entrix in ... to combine my passion for data and algorithms with my commitment ... energy transition, machine learning and data science. Also, at Entrix I ...
... with BI tools Knowledge of data integration and production value chain ... commitment to setting and enforcing data standards Collaborative and communicative, with ... understand complex processes and improve data accuracy What we offer We’re ...
... solutions, leveraging advanced analytics and data visualisation tools like Power BI, ... Anaplan implementation Experience in data modeling, data integration, and data visualization. Knowledge of advanced analytics techniques, such as predictive modeling ...
... solutions, leveraging advanced analytics and data visualisation tools like Power BI, ... Anaplan implementation Experience in data modeling, data integration, and data visualization. Knowledge of advanced analytics techniques, such as predictive modeling ...
... and strategy for the corporate data model Align the corporate data model with business objectives, analytics goals, and enterprise data strategies Prioritise features and enhancements ...
... and strategy for the corporate data model Align the corporate data model with business objectives, analytics goals, and enterprise data strategies Prioritise features and enhancements ...