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Working within Counter Terrorism Policing Headquarters (CTPHQ), the Resources Business Intelligence Analysis Lead will work within the Business Intelligence Function to provide data insight, automation and analytical tools to a range of corporate pillars, with the view to enhancing strategic decision-making.
Job Responsibility:
Provide data insight, automation and analytical tools to a range of corporate pillars, with the view to enhancing strategic decision-making
Jointly responsible, alongside the data engineer for supporting the development and delivery of a BI strategy for CTPHQ corporate pillars
Regular consultation and engagement with senior stakeholders to elicit requirements and translate them into BI initiatives
Responsible for the ongoing maintenance of BI products, processes and tools
Responding to ad-hoc data/analytical requests in support of wider CTPHQ priorities
Apply a range of consultative, analytical and technical skills in order to design new data-driven processes, develop analytical tools and models, and to dynamically visualise corporate data
Requirements:
Working closely with stakeholders across the business, develop and apply knowledge of the business’ process and strategic objectives to identify opportunities for Business Intelligence solutions and improvements
Design analytical solutions and data-driven processes to solve business problems or opportunities
Write specifications for data collection and data integration requirements, in order to develop the necessary datasets to deliver BI solutions
Build queries and analytical models that manipulate and analyse corporate data across multiple sources to deliver unique insight
Work with the data engineer to develop automated tools and processes to eliminate or reduce manual effort across Pillars in the collection, consolidation and analysis of data
Develop Business Intelligence dashboards in a range of tools including Excel, Power BI or Tableau
Maintain regular engagement with other technical pillars and data engineer across CTPHQ to ensure alignment
Provide resilience and support to the data engineer in the running and maintenance of back-end data workflows and in the design and maintenance of the corporate data architecture and standards