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Metadata Analyst


Metadata Analyst

Dublin | Ireland

Division Description

The Finance & Accounting Division is made up of a number of core finance teams both at business unit and Group level. We perform a key management and control function in ensuring all Group financial and management reporting processes are appropriately governed. The Finance Division has overall responsibility for driving the Group budgeting and forecasting process, developing Group-focused financial insight and analysis and delivering the Group's statutory, regulatory and external reporting. We do this through collaborative business partnering in each of the Divisions and with centralised Finance shared / specialist services.

Description of business unit

The Data Modelling Team sits within the Data Management section of the Group Data Office. We have responsibility for capturing the semantics of the data used by the Bank and organising that into Data Models that are understandable by Bank personnel, both business and technical.

Data Models are produced at both Business and Technical levels. In particular, the Business Data Model (BDM), an extensive model of the Bank's data and its inter-relationships and models for the Enterprise Data Warehouse (EDW).

Purpose of the Role

The Enterprise Metadata Analyst resolves alternatively presented metadata into a single unified representation and description, which becomes the basis for the content of reports and regulatory returns.

Key Accountabilities

  • The role will involve semantic mapping of data requirements, data specifications and source system content against the BDM -hence requiring an ability to compare items from different sources and identify any semantic commonality/difference.
  • Consolidate any issues encountered during the analysis/comparison in a workflow process and work with both business and technical stakeholders across multiple departments and projects to accurately resolve any such issues.
  • Document the agreed mappings according to Bank standards.
  • Where BDM gaps are identified, produce modelling proposals for BDM extensions.
  • The candidate will necessarily need to become familiar over time with the Bank's data, operations and processes.

What is the opportunity

  • The core deliverables of this role will feed into data integration, data migration, unified reporting and regulatory requirement programs across the Bank.
  • Training will be provided with respect to knowledge of the BDM, documentation of data mappings and data modelling.
  • There will be opportunities to learn fundamental data management principals while undertaking the role, in particular Data Modelling.

Essential Qualifications

Minimum Grade D in Ordinary Level Leaving Certificate subjects, including Maths and English.

Essential Skills & Experience

  • Strong analytical skills which can be applied to different problems, with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy;
  • Excellent written and verbal communication skills to engage with business and technical stakeholders.
  • Hands-on experience with MS Office, especially Word, Excel and Visio.
  • Be open to challenges and learning quickly;

Desirable Qualifications, Skills & Experience

  • Previous experience in Banking domain or other heavily regulated industry, especially in a data analysis, data mapping or data modelling role;
  • Concise and clear writing ability
  • The ability to plan work and meet strict deadlines;
  • Knowledge of Python and/or REST APIs an advantage;
  • Knowledge of SQL

Key Competencies

Customer Focused - 1. Self

Agile - Self

Accountable - Self

Champion Transformation - Self

Amplify Capability - Self

Where Agency assistance is required Bank of Ireland Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Bank of Ireland by Recruitment Agencies will not be accepted for this role.

Bank of Ireland Group is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of our workforce.

Closing date: Oct 01, 2019
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