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Data Modeller

  • Salary: Negotiable
  • Job type: Contract
  • Location: Bromley, Kent
  • Sector: IT
  • Date posted: 12/04/2018
  • Job reference: J384244A

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Job Role: Data Modeller

Location: Bromley

Contract Length: 3 months

Start Date: ASAP

Job Requirements

  • Experience working as a Data Analyst, Data Designer, or Data Modeller
  • Candidate must have experience in extracting and understanding business requirements
  • Candidate must have data analysis and logical data design experience
  • Must have experience using the Erwin (Modelmart) modelling software producing both logical and physical data models
  • Education/Work Experience preferred:
  • Must have experience in applying data management principles and industry standards to design, build and maintain complex data model assets in Transactional/Operational, ODS, Data Warehouse and Data Marts applications
  • Effective communication skills and facilitation experience with business stakeholders to understand organisation data needs and capture data requirements
  • Analyses and translates business requirements into conceptual, logical and physical data models
  • Advanced skills in ER design, dimensional design, canonical design, object design, UML
  • Experience with a data modelling tool (Erwin, Er/Studio)
  • Experience in Data analysis and mapping, creation and usage of metadata
  • Ability to evaluate DDL for completeness and accuracy before submission to a DBA
  • Experience working with Oracle, SQL Server, IMS, DB2 databases and writing SQLs
  • Experience in delivering solutions using Agile and Iterative methodology
  • Experience with metadata management discipline and practices
  • Strong analysis and deep problem-solving skills. Must be a self-motivated driver to find out data issues and resolve them quickly
  • Experience in vendor teamwork and working with onshore and offshore partners
  • Strong written communication, verbal communication, and facilitation skills

Experience/Skills Required:

  • Experience with Insurance Industry reference models
  • Experience within the insurance industry
  • Knowledge of the Personal lines insurance business, using direct quotes and aggregators
  • Understanding of Data Management principles and methodologies

Please submit your CV's at the first instance.