• Permanent
  • Ireland
  • Ref No: J6390
  • Qualification: Part Qualified
    Nearly/Newly Qualified

The Data Analyst will support and lead the implementation of our client's Data Strategy and other data centric projects. The Data Analyst role is to develop a unified data model, and work with project teams to ensure that their designs and implementations adhere to Data Infrastructure standards and best practices.

 Review and understand business requirements to guide the creation of a comprehensive, coherent, and effective overall Data Infrastructure
 Design and support the delivery of a single, consistent, accurate and reconciled source of data for MI, Analytics and Reporting.
 Work with project teams to deliver solutions which are performant, scalable and in line with the overall Data Infrastructure
 Lead the design and support the delivery of the data centric elements of business solutions
 Identify elements of proposed designs or implementations which could limit scalability or impact supportability, and propose changes to address any issues
 With the support of IT professionals define the data design patterns and standards while recommending designs to optimise database and performance
 Other tasks as defined by the Product Actuarial Manager

Please contact Jenny at Jenny@acumen-resources.com or 016099409 for further information.

Acumen Resources specialises in the recruitment of the following professionals:
Chief Actuary | Head of Actuarial Function | Actuarial Director | Actuarial Function Holder | CRO | CFO | Actuarial Manager | Valuations Actuary | Product Development Actuary | Pricing & Reserving Actuary | Solvency II Actuary | Life Insurance Actuary | General Insurance Actuary | Non Life Actuary | Pensions Actuary | Investment Actuary | Capital Modelling Actuary | Capital Management Actuary | Risk Management Actuary | Enterprise Risk Management Actuary | Newly & Nearly Qualified Actuary| Part Qualified Actuary | Trainee Actuary| Actuarial Trainee | Student Actuary | Actuarial Graduate

Tagged as: Data Analytics, Life Insurance, Systems

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