5 of 5 Remote/Hybrid Analytics Jobs in Glamorgan

Looking For Essential Experience Proven experience as a Data Architect delivering Azure-based data platforms Strong background designing enterprise-scale data warehouse and analytics solutions Extensive experience with: Azure SQL Azure Data Factory Power BI Azure DevOps Experience delivering greenfield data platform implementations Strong understanding of dimensional modelling and modern ...

GDPR. Desirable: Microsoft Certified: Azure Database Administrator Associate (DP-300) Microsoft Certified: Azure Data Fundamentals (DP-900) Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Azure security knowledge or AZ-500 certification Experience with Microsoft Fabric/Power BI Security Clearance Candidates must be eligible to obtain UK Security Check ...

data warehouse and reporting environments * Produce and maintain technical documentation and development standards Skills & Experience * Strong experience with Microsoft Fabric and Azure Synapse Analytics * Advanced SQL Server development experience * Expert knowledge of T-SQL including stored procedures, views and functions * Experience designing, building and supporting enterprise data warehouse solutions * Experience ...

models Develop Power BI Embedded reporting within Model-Driven App/Dataverse environments Implement in-app operational reporting (lists, lightweight reporting) alongside Power BI analytics Improve performance across DAX, queries, and data structures to ensure fast, reliable reporting Support the consolidation and delivery of a defined set of reports across ...

Analytics Engineer (Manufacturing/ESG) Location: Cardiff (hybrid) Compensation: £45,000 - £50,000 Job Type: Full-Time, Permanent About the Role Our client, a midsize manufacturing business, is looking for an Analytics Engineer to support their central Data Team in the delivery of trusted data products for the organisation … underpins their climate and sustainability targets. Responsibilities Design, build and maintain analytical data models, including fact and dimension tables, to support trusted reporting and analytics Develop, optimise and maintain data pipelines, transformations and queries Own data quality across analytical layers, ensuring consistency, integrity, traceability and documentation Support integration of data ...