Data Insights Analyst: Power BI & Analytics (Hybrid London)

Anson McCade Pty

Greater London

Hybrid

GBP 36,000 - 60,000

Full time

48 hours ago
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Job summary

Anson McCade Recruitment in London is seeking a Data Analyst to join a leading transformation consultancy on data & digital transformation projects. You will design and implement reporting solutions using Power BI, turning complex data into actionable insights.

The role involves building semantic data models, collaborating with stakeholders and data engineers, and supporting governance and data quality across the full data lifecycle.

Qualifications

  • Strong Power BI experience.
  • Experience building and maintaining semantic data models.
  • Understanding of data warehousing and dimensional modelling concepts.
  • Experience working with cloud-based data platforms.
  • Exposure to Tableau, Looker or Microsoft Fabric would be advantageous.
  • Strong stakeholder management and communication skills.
  • Previous consulting or client-facing experience.

Responsibilities

  • Designing and developing reporting solutions using Power BI.
  • Building and maintaining data models to support analytics and reporting requirements.
  • Working with stakeholders to translate business needs into clear, actionable insights.
  • Identifying trends, risks and opportunities within complex datasets
  • Supporting executive-level reporting through data storytelling and visual communication.
  • Improving data quality and supporting governance initiatives.
  • Collaborating with Data Engineers, Architects and Product teams across the full data lifecycle.

Skills

Power BI
Stakeholder management
Communication skills
Consulting experience

Tools

Tableau
Looker
Microsoft Fabric

Job description

Anson McCade Recruitment in London is seeking a Data Analyst to join a leading transformation consultancy on data & digital transformation projects. You will design and implement reporting solutions using Power BI, turning complex data into actionable insights.

The role involves building semantic data models, collaborating with stakeholders and data engineers, and supporting governance and data quality across the full data lifecycle.

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