Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative More ❯
Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, RShiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences, or More ❯
including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and RShiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯
Telford, Shropshire, West Midlands, United Kingdom
HMRC
including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and RShiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯
services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services More ❯
Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. RShiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯
Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. RShiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯
