Job description

Data Quality and Analysis
Power BI, Azure
Home working

A chance to join a UK leading data and cloud consultancy as a Power BI Analyst and data quality specialist. The successful candidate will have a strong track record working closely with stakeholders to understand requirements and have the ability to develop engaging data visualisations. 

Responsibilities of the Power BI Data Analyst:

In this role you will be;

  • Working alongside stakeholders to define data quality requirements and develop engaging data visualisations
  • Utilizing effectively the navigation features in Power BI (e.g. bookmarks, drill-through) to guide readers through a compelling data-driven story
  • Ingesting data from a variety of data sources and performing required transformations in the Power BI query editor using a mixture of utilizing the UI and writing M code
  • Data Modelling and developing calculations in DAX which are accurate and performant on large datasets
  • Writing complex SQL queries to optimise reporting
  • Protecting project data, maintaining data security
  • Strong communication and stakeholder manager skills


  • Able to communicate effectively across a large team
  • Understands the fundamentals of data and analytics processes and procedures
  • Up to date knowledge of latest Power BI features and functionality
  • Proficient in writing SQL, DAX, and M
  • An in-depth understanding of how the Power BI Service works
  • Strong experience with Power BI including row level security
  • The ability to develop production-ready quality reports and dashboards

Desirable skills:

  • Working in an Azure DevOps environment
  • Best practices data modelling, star schema models
  • Strong data analysis skills
  • Mentoring team members on Power BI

** We cannot sponsor work visa’s for this opening.

If successful, you’ll be working with a top flight team of data experts with a strong culture for learning and collaborative working. The position offers annual bonus and a very comprehensive benefits package and CPD opportunities including incentivised learning.

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