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Lead Azure Analytics Consultant - Global Microsoft Partner

Lead Azure Analytics Consultant
£75,000 - £90,000 | UK | Hybrid | SC Cleared / Eligible

This is a unique and challenging opportunity for an experienced Lead Data and Analytics Consultant to work at the forefront of Microsoft technologies and continue their MS certification journey. As a Lead Analytics Consultant, you will provide bespoke and cutting-edge advanced data / analytics solutions that leverage the latest capabilities of Microsoft technology to bring commercial advantage to some of the UK's most recognised companies.

Responsibilities
  • Advising clients on analytics best practice and delivering data analytics capabilities.
  • Capturing client requirements and modelling data to develop an effective Data solution architecture.
  • Developing and designing bespoke advanced analytics solutions utilising the MS Azure Data Analytics stack.
  • Keeping skills at the forefront of emerging technologies and trends in the MS Azure Data Analytics stack.
  • Implementing solutions using best practices for the management and transformation of data.
  • Designing and developing effective visualisations and dashboards to present information in a clear and informative manner.

Skills & Experience Profile
  • Strong client facing experience, previously working for a management consultancy or system integrator.
  • Demonstrable experience designing or developing advanced business intelligence & analytics solutions using the full MS Azure Data Stack (SQL / Azure Data Factory / Azure Synapse Analytics / Microsoft Fabric / Azure Databricks / Power BI / DAX / Azure Data Lake / MDS).
  • Ability to translate business requirements into technical requirements.
  • Design & development experience using data discovery / visualisation tools such as MS Power BI, QlikView, and Tableau.
  • Ability to model and transform data, build ETL solutions and present data in a useful business context.
  • Experience developing data warehouses & data marts using the Kimball methodology.
  • Experience or awareness of Big Data and Data Science related technologies, such as R or Azure Machine Learning, to design and implement predictive analytics models.
  • Excellent communication and problem-solving skills.

What This Role Offers
  • Ownership of complex, high-value workstreams
  • Opportunity to shape delivery on nationally significant programmes, working with a broad range of enterprise customers and solutions.
  • Ongoing learning and professional development opportunities.
  • A supportive, collaborative and people-focused culture.
  • Competitive Salary + Benefits + Annual Bonus Scheme

See also

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