Data Analytics Specialist

Role overview

Responsibilities

• Develop analytics scripts and applications with R, Python and web frameworks such as Shiny and Django.
• Prepare and present analytical reports and visualisations for colleagues and customers.
• Document, maintain and collaborate on code using DevOps and Git.
• Improve code, packages, pipelines, applications and quality assurance processes.
• Upskill the agency's data analytics network and promote analytics use.
• Explore emerging methods with government and private-sector data teams.
• Use LLMs and AI models in analysis and develop tools for safe, effective AI use.
• Provide training, support research and development, and apply innovative techniques to improve efficiency.

Person specification

• Experience interpreting customer needs and delivering advanced data analytics using R or Python.
• Communicate complex analysis clearly to non-specialists.
• Connect business problems to analytical solutions and work with others to implement them.
• Strong organisation, project leadership at pace, and stakeholder relationship experience.
• Experience in at least two of: Quarto, R or Python web frameworks, AI products, Azure environments, or business-critical models.

Location and working arrangements

• Contractual work location must be one of the advertised locations and within reasonable daily commuting distance.
• Employees are expected to regularly attend their designated workplace and travel to other GIAA locations or client sites when required.
• Advertised locations include Birmingham, Bristol, Bootle, Croydon, Leeds, Manchester, Newcastle, Reading and Swansea.
• Flexible working, full-time, job share and part-time patterns are listed.

Salary and benefits

• Salary range is £60,468–£70,510, with a separate London range of £64,589–£75,151.
• Civil Service Pension employer contribution is 28.97%.