data systems. Experience across key data domains, including Data Analysis, Reporting, and the conceptualization and design of data assets for data warehouses and data marts. Experience in various data modelling concepts, with a particular emphasis on Relational and Dimensional modelling. Knowledge of Data Vault modelling in a plus. Knowledge of Data Management and Data Architecture best practices More ❯
feedback efficiently in an iterative manner Develop and abide by standard methodologies for scalable and repeatable insights. Translate existing spreadsheets/mockups and business problems into sophisticated Anaplan multi-dimensional models Modify existing models as part of a connected solution, optimization, or to incorporate new functionality Implement standard processes and documentation for Anaplan models Lead data integration and migration More ❯
london, south east england, united kingdom Hybrid / WFH Options
VirtueTech Recruitment Group
central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯
data systems You Will Demonstrate Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server More ❯
most relevant data from Snowflake to support business questions and performance tracking. o Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations. Data Modelling and Metric Logic o Design and maintain scalable data models that reflect logistics processes and support cross-functional reporting. o Define and implement logic for KPI generation and performance … Proficiency in designing scalable and efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling. • Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. • Data Analysis and Visualization: Skills in visualizing data More ❯
