Data Modeller

Data Modeller – Liverpool / hybrid working

We are proud to be partnering with one of the region’s most prestigious institutions as they undertake an ambitious data initiative to align with a new Digital Strategy they are undertaking.

They are looking to engage a data professional to assist in the documentation of their current data landscape to improve data quality. You will shape the way in which they collate and apply data and be crucial to their ongoing strategy.

It is essential that you have experience in modelling data within HR (Human Resources), Finance ERP or Higher Education. Please do not apply if you cannot evidence this.

This is a 12-month fixed term appointment, but you will qualify for the same benefits as permanent staff employed which include 21.5% pension, 30 days paid leave (plus bank holidays) and a raft of others.

There is a requirement to be onsite in central Liverpool 2 days a week.

Key skills and experience required:

• Demonstrable experience modelling data entities and attributes in at least one of the following domains (Higher Education, Human Resources, Finance ERP)
• Excellent knowledge of modelling notations and concepts like cardinality, normalisation, entity-relationship, dimensional, hierarchical, Kimball methodology, primary keys and foreign keys etc.
• Confident in the different types of data modelling patterns and where to use them appropriately.
• Experience producing conceptual, logical and physical data models using tools like Lucid Chart, Miro, Visio or similar and experience of using data visualisation tools like Tableau, Power
  
  BI or similar
• Knowledge of SQL Server and other database applications
• Advanced Excel skills
• Hold certifications in a recognised data qualifications or business analysis (ie BCS Certificate in Data Management Essentials, BCS Certification in Business Analysis, Certified Data Management Professional
  -CDMP )
• Experience using data models to improve data quality outcomes.
• Experience working with metadata.
• Knowledge of the data quality fundamentals and knowledge of data governance concepts e.g. GDPR, data retention.