SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯
Ability to work independently and thrive in a team environment. Eagerness to learn and develop technical skills; a degree or relevant experience is required. Knowledge of data warehousing andETL processes. Familiarity with Power Apps, Azure Data Factory, and Power Automate is advantageous. Someone with a can do attitude who pays attention to detail and can spot irregularities. Office Angels More ❯
on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently andMore ❯
