1 x fixed term contract role with an end date of 3 October 2025
We are seeking a dynamic, self-motivated and passionate person with experience of working in a progressive Business Intelligence environment.
Do you have experience leading the delivery of BI solutions for organisations with multiple stakeholders? Delivering quality assured evidence based insights to inform business decisions?
Can you provide technical support and data warehouse maintenance? Do you have experience producing self reporting dashboards in data visualisation environments such as Qlik or Tableau?
The role will develop informatics delivery, ensuring user requirements are met with accurate and well-presented outputs supporting the NIHR missions to improve the health and wealth of the nation through research.
Expected Shortlisting Date:
14/11/2024
Planned Interview Date:
28/11/2024
Our business intelligence tasks can range in scale from small ad-hoc data requests to long-term, cross-team projects. As part of a small and friendly team your role will allow you to work with the full end-to-end business intelligence delivery process. From meeting stakeholders and understanding requirements, through data modelling and the ETL process, to data visualisation and generating insight - youll get to experience it all!
Main duties will include working with relational databases with MS SQL server and ETL tools such as SSIS. You will also perform analysis of data loads and implement data warehouse design theory and data modelling techniques. Producing reports and data visualisation in Qlik or Tableau using a variety of data sources. Our current data warehouse is on-premise, but there may be the opportunity in the future to move to a hybrid or cloud based approach. Therefore, any experience of Microsoft Azure or Amazon AWS may also be beneficial.
Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial.
About us
Data Quality and Evaluation
Communications and Engagement
Technical
1 x fixed term contract role with an end date of 3 October 2025
We are seeking a dynamic, self-motivated and passionate person with experience of working in a progressive Business Intelligence environment.
Do you have experience leading the delivery of BI solutions for organisations with multiple stakeholders? Delivering quality assured evidence based insights to inform business decisions?
Can you provide technical support and data warehouse maintenance? Do you have experience producing self reporting dashboards in data visualisation environments such as Qlik or Tableau?
The role will develop informatics delivery, ensuring user requirements are met with accurate and well-presented outputs supporting the NIHR missions to improve the health and wealth of the nation through research.
Expected Shortlisting Date:
14/11/2024
Planned Interview Date:
28/11/2024
Our business intelligence tasks can range in scale from small ad-hoc data requests to long-term, cross-team projects. As part of a small and friendly team your role will allow you to work with the full end-to-end business intelligence delivery process. From meeting stakeholders and understanding requirements, through data modelling and the ETL process, to data visualisation and generating insight - youll get to experience it all!
Main duties will include working with relational databases with MS SQL server and ETL tools such as SSIS. You will also perform analysis of data loads and implement data warehouse design theory and data modelling techniques. Producing reports and data visualisation in Qlik or Tableau using a variety of data sources. Our current data warehouse is on-premise, but there may be the opportunity in the future to move to a hybrid or cloud based approach. Therefore, any experience of Microsoft Azure or Amazon AWS may also be beneficial.
Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial.
Data Quality and Evaluation
Communications and Engagement
Technical