Data Analytics Specialist

Role overview

Responsibilities

• Develop scripts and applications using R, Python and frameworks such as Shiny and Django for advanced analytics supporting audit and counter-fraud work.
• Produce and present reports with analysis outputs and visualizations for colleagues and customers.
• Document, maintain and collaborate on code using tools such as DevOps and Git.
• Improve scripts, packages, data pipelines, applications and quality assurance processes using coding best practices.
• Lead activities to upskill the agency's data analytics network and promote analytics across the agency.
• Engage with government and private-sector data teams to explore suitable analytics approaches.
• Use LLMs and AI models in analysis and develop tools that enable safe, effective AI use.
• Provide training and support to develop analytics capabilities and support research into innovative techniques.

Person specification

• Experience interpreting customer needs and conducting advanced analytics using R or Python to deliver services.
• Ability to explain complex analysis clearly to non-experts.
• Ability to connect business problems to analytical solutions, collaborate on implementation and research emerging opportunities.
• Strong organization, experience leading and managing multiple projects at pace, and stakeholder relationship skills.
• Experience in at least two areas: Quarto outputs; web applications in R or Python frameworks; AI products; Azure environments; business-critical models.

Location and working arrangements

• Advertised contractual locations are Birmingham, Bristol, Bootle, Croydon, Leeds, Manchester, Newcastle, Reading or Swansea.
• Employees are expected to maintain regular attendance at their designated work location and travel to other agency locations or client sites as required.

Pay and contract

• The role is permanent.
• The advertised salary is £60,468–£70,510, with a London salary range of £64,589–£75,151.
• The role is Grade 7 and includes a Civil Service Pension with a stated employer contribution of 28.97%.

Working pattern

• The advertised working patterns include flexible working, full-time and job share, with part-time also listed.

Application process

• Applicants submit employment history, personal details and a suitability statement of up to 750 words referring to the person specification.
• The suitability statement is the only item assessed at the sift stage.
• Interviews will be held on Teams.