Public Sector Data Analyst — Insights & Visualisation

Government Recruitment Service; Newcastle upon Tyne; Presencial; GBP 32.000 - 39.000; Jornada completa

Descripción de la vacante

Government Recruitment Service in Newcastle upon Tyne is seeking a Data Analyst to turn complex data into clear, actionable insight that informs senior leaders and policy delivery. You will collect, organise and analyse data to support evidence-based decisions across the Insolvency Service.

Reporting to the Deputy Head of Statistics, you\'ll help automate data flows and build capability in data visualisation, with skills in Power BI, R and Azure Data Platform.

Responsabilidades

• produce the agency's regular official statistics, ensuring compliance with the Code of Practice for Statistics, to create outputs in a variety of formats for different audiences
• produce regular performance reports and dashboards, analysing data to create compelling, evidence‑based data stories that help stakeholders make decisions
• use a range of analytical techniques, such as exploratory data analysis, descriptive statistics, time series analysis and correlation analysis, to identify and predict trends in data
• work with a variety of qualitative and quantitative data, ensuring analysis is of high quality and accuracy
• provide challenge and collaborate with other digital and analytical professionals to deliver collective insights
• continuously improve processes and systems, referring to the Analysis Function Standards, for example the Aqua Book

Herramientas

Power BI

R

Azure Data Platform

Descripción del empleo

Government Recruitment Service in Newcastle upon Tyne is seeking a Data Analyst to turn complex data into clear, actionable insight that informs senior leaders and policy delivery. You will collect, organise and analyse data to support evidence-based decisions across the Insolvency Service.

Reporting to the Deputy Head of Statistics, you\'ll help automate data flows and build capability in data visualisation, with skills in Power BI, R and Azure Data Platform.