Data Analyst – Insightful Dashboards & Stats (Flexible)

Government Recruitment Service

Leeds

Sur place

GBP 32 000 - 39 000

Plein temps

Il y a 43 heures
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Résumé du poste

Government Recruitment Service in Leeds is seeking a Data Analyst (badged Government Statistician Group) to turn data into actionable insights for insolvency policy and operational decisions. You will collect, organise and analyse data to support the Insolvency Service and the wider Civil Service, driving evidence-based improvements.

The role offers flexible working options and ongoing professional development, with opportunities to work on challenging data projects using Power BI, R and Azure

Qualifications

  • Experience turning data into actionable insights for decision makers.
  • Experience with statistical analysis and data visualisation best practices.
  • Ability to explain complex data to non-technical audiences.

Responsabilités

  • Produce the agency's regular official statistics and outputs for varied audiences.
  • Create regular performance reports and dashboards to tell evidence-based data stories.
  • Apply exploratory data analysis, descriptive statistics, time series, and correlation analyses to identify trends.
  • Handle qualitative and quantitative data ensuring high quality analysis.
  • Collaborate with digital and analytical colleagues to deliver insights.
  • Improve data processes and automation following relevant standards.

Connaissances

Analytical thinking
Data storytelling
Stakeholder communication

Outils

Power BI
R
Azure Data Platform

Description du poste

Government Recruitment Service in Leeds is seeking a Data Analyst (badged Government Statistician Group) to turn data into actionable insights for insolvency policy and operational decisions. You will collect, organise and analyse data to support the Insolvency Service and the wider Civil Service, driving evidence-based improvements.

The role offers flexible working options and ongoing professional development, with opportunities to work on challenging data projects using Power BI, R and Azure

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