37 Kimball Methodology Jobs

understanding of business analysis and requirements gathering techniques, such as business process modelling, gap analysis and user stories. Deep understanding of Kimball methodology Solid experience of SQL (preferably including Oracle 12c). Logical and Physical database modelling Understanding use of ETL tools to gather and load facts more »

understanding of business analysis and requirements gathering techniques, such as business process modelling, gap analysis and user stories. Deep understanding of Kimball methodology Solid experience of SQL (preferably including Oracle 12c). Logical and Physical database modelling Understanding use of ETL tools to gather and load facts more »

use to manage the MI, automate MI and reporting workflow, information and report distribution. o Good working practice designing data collections by using Kimball methodology. Non-technical: o Practical understanding of the Data Visualisation techniques and principles. o High-level understanding of the data management and its impact … requirements, link them to a business narrative and softly guide SME by delivering the requested MI. o Some understanding of the architectural principles, Agile methodology to engage users and deliver business solutions. o Ability to communicate complex technical concepts and narrative to business audience and non-technical teams. This more »

ideas or solutions QUALIFICATIONS Skills required for this role are: Proven track record of implementing data reporting and dashboarding solutions Experience in Agile delivery methodology Hands on experience designing or implementing data architecture with understanding of the Azure data stack Hands on Experience working with analytics languages such as … testing and user acceptance testing Some Experience of Data Science approach and best practice An understanding of or experience of data modelling including Kimball Experience translating designs of Azure data solutions into action Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies Experience more »

design to satisfy the ever changing demands of the Business. Preferred skills and experience Knowledge of database and data warehouse design, including the Kimball methodology. Commercial experience of data warehouse implementation, preferably in the Cloud. Knowledge of the relational theory, using set based processing. Excellent communication skills with … can-do attitude towards work. Demonstrate a keen interest in the Business value of data. Main Responsibilities Developing the data warehouse design using Kimball methodology. Designing the logical change data capture (CDC) required to extract data from source systems. Working with the extract, transform, load (ETL) process and more »

inclusion in the Company’s hybrid working from home policy. Preferred skills and experience Knowledge of database and data warehouse design, including the Kimball methodology. Commercial experience of data warehouse implementation, preferably in the Cloud. Knowledge of the relational theory, using set based processing. Excellent communication skills with … can-do attitude towards work. Demonstrate a keen interest in the Business value of data. Main Responsibilities Developing the data warehouse design using Kimball methodology. Designing the logical change data capture (CDC) required to extract data from source systems. Working with the extract, transform, load (ETL) process and more »

critical role, you will be responsible for building a robust and efficient data infrastructure, overseeing the development, implementation, and governance of DataVaults and Kimball-style data warehouses/data marts. As the Head of Data Engineering & Data Governance, you will be responsible for developing a data engineering strategy … for someone with extensive experience in data engineering, data governance, and data management roles, as well as a strong knowledge of DataVaults and Kimball-style Data Warehousing concepts and methodologies. Degree in a relevant field (Computer Science, Data Science, Engineering, etc.) or equivalent Extensive experience in data engineering more »