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Business Intelligence Analyst

2 months ago


Leicester, Leicester, United Kingdom Manchester Digital Full time
About the Role

We are seeking a highly skilled Business Intelligence Analyst to join our team at Manchester Digital. As a Business Intelligence Analyst, you will play a key role in helping us make data-driven decisions and drive business growth.

Key Responsibilities
  • Support various business services, such as data analysis and reporting, to inform business strategy and decision-making.
  • Design and implement data visualizations and dashboards to communicate complex data insights to stakeholders.
  • Lead the development of advanced analytics and data science techniques to solve business problems.
  • Collaborate with cross-functional teams to identify business needs and deliver tailored analytical solutions.
Accountabilities and ResponsibilitiesRole 1 – Marine and Fisheries Services Analytical Lead
  • Support the development of data-driven solutions to inform marine and fisheries management decisions.
  • Design and implement data quality checks to ensure accuracy and reliability of data.
  • Lead the development of data science and innovation initiatives to drive business growth.
  • Apply advanced analytics and data science techniques to solve complex business problems.
Role 2 – International Fisheries Evidence Analytical Lead
  • Deliver high-quality data and evidence to inform international fisheries management decisions.
  • Support the development of data-driven solutions to inform business strategy and decision-making.
  • Coordinate the development of data collection frameworks and annual workplans.
  • Project manage the production of annual progress reports and other business-critical documents.
Person Specification

We are looking for a highly skilled and experienced Business Intelligence Analyst with a strong background in data analysis and business intelligence. The ideal candidate will have:

  • A first-class or second-class honours degree in a numerate subject containing at least 25% taught statistical content.
  • Higher degree, such as an MSc or PhD, in a subject containing formal statistical training.
  • Alternatively, two years of experience in a statistical or analytical field with Continuous Professional Development (CPD).
  • Membership of the Government Statistical Group (GSG) is not mandatory to apply.