Data Quality Analyst — Power BI Dashboards & Insights

Cushman & Wakefield; Leeds; À distance; GBP 26 000 - 36 000; Plein temps

Résumé du poste

Cushman & Wakefield is seeking an Assistant Data Analyst to develop automated data quality reports and publish Power BI dashboards for stakeholders across UK markets. You will work closely with the Data Quality Assurance Manager and the Data Operations team to ensure accurate data correction and timely processing.

The role requires strong data analysis skills, communication abilities, and the drive to continuously improve reporting workflows and scalability while presenting findings to both

Qualifications

• Proficiency in Power BI, with ability to develop reports and dashboards.
• Strong Excel skills and familiarity with data analysis tools.
• Excellent analytical and communication abilities, able to present insights clearly to diverse audiences.

Responsabilités

• Develop and maintain automated reports on key data quality metrics.
• Design and publish Power BI dashboards for stakeholders and markets to visualise trends and highlight actionable insights.
• Analyse data quality results to identify patterns, trends and areas requiring further investigation.
• Work closely with the Data Quality Assurance Manager to align outputs with strategic goals.
• Partner with the Data Operations team to ensure accurate and timely data correction and processing.
• Regularly present findings to stakeholders with clear narratives around data trends and potential improvements.

Connaissances

Power BI

Excel

Data analysis

Data quality

Formation

Data Science degree

Description du poste

Cushman & Wakefield is seeking an Assistant Data Analyst to develop automated data quality reports and publish Power BI dashboards for stakeholders across UK markets. You will work closely with the Data Quality Assurance Manager and the Data Operations team to ensure accurate data correction and timely processing.

The role requires strong data analysis skills, communication abilities, and the drive to continuously improve reporting workflows and scalability while presenting findings to both