Data Analytics Specialist

Role overview

Key responsibilities

• Build analytical scripts and applications using R, Python, and frameworks such as Shiny and Django.
• Produce and present analysis reports and visualizations for GIAA colleagues and customers.
• Document, maintain, and collaborate on code using tools such as DevOps and Git.
• Improve code, packages, data pipelines, applications, and quality assurance processes.
• Lead analytics upskilling and promote use of data analytics across the agency.
• Engage with government and private-sector data teams to explore approaches for audit and counter-fraud work.
• Use AI models in analysis and develop tools for safe, effective AI use.
• Provide training and support, and contribute to research and development of innovative techniques.

Person specification

• Experience interpreting customer needs and conducting advanced analytics using R or Python.
• Communicate complex analysis clearly and effectively to non-specialists.
• Connect business problems to analytical solutions and proactively work with others to implement them.
• Strong organizational skills; experience managing multiple projects at pace and building stakeholder relationships.
• Experience in at least two of: Quarto outputs, R or Python web applications, AI products, Azure environments, or business-critical models.

Location and working pattern

• Advertised contractual locations are Birmingham, Bristol, Bootle, Croydon, Leeds, Manchester, Newcastle, Reading, and Swansea.
• Employees are expected to maintain regular presence at their contractual work location and travel to GIAA locations or client sites as required.
• Working pattern options include full-time, part-time, job share, and flexible working.

Compensation

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

Role details