Senior Data

3 weeks ago

Leeds, United Kingdom Blue Pelican Full time

**Senior Data & Analytics Consultant**

**Microsoft Business Intelligence**

**SQL Server, SSIS, SSRS, SSAS, Power BI**

**£60,000 - £72,000 p/a + Bonus + Benefits**

Take your Data Analytics and Business Intelligence career to the next level and join this dynamic consulting team as a Senior Data & Analytics Consultant and help shape the future of some of the UK’s leading companies. This global MS GOLD partner offersremote working, allowing you to work from home with the understanding some travel may be required to client sites from time to time.

In this role, you will leverage your experience with Business Intelligence tools and techniques to advise clients on the best analytics practices and deliver cutting-edge solutions that will provide significant commercial advantage to our clients. You willbe responsible for capturing client requirements, modelling data, and developing effective intelligence solutions that are delivered on time and to budget.

Key responsibilities include advising clients on analytics best practices, designing bespoke business intelligence and advanced analytics solutions, implementing solutions using best practices for data management and transformation, and designing and developingeffective reports and dashboards.

To be successful in this role, you'll need to have strong client-facing experience working for a management consultancy or system integrator.

**Technical & Data Skills**:
Experience designing or developing advanced business intelligence and analytics solutions using the full Microsoft BI stack:
SQL Server, SSIS, SSRS, SSAS.

You must be able to translate business requirements into technical requirements and have design and development experience using data discovery tools such as MS Power BI, or possibly QlikView or Tableau.

Experience in modelling and transforming data, building ETL solutions, and presenting data in a useful business context. Experience developing data warehouses and data marts using the Kimball methodology is also preferred.

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 is a plus.

In addition to your technical skills, you must have excellent communication and problem-solving skills. You should have a numerate degree in mathematical or computer science-related disciplines with good problem-solving skills.

Come and be part of a team that is making a difference in the world of data and analytics.

Business Intelligence, SQL Server, SSIS, SSRS, SSAS, Power BI, Data Warehousing, ETL, Azure, Analytics

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