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Data Governance Analyst

  • Location

    City of London, London

  • Sector:

    Information Technology

  • Job type:

    Contract

  • Salary:

    £400 - £500 per day + Negotiable

  • Contact:

    Clara Grace Moretti-Greene

  • Contact email:

    claram@montash.com

  • Salary high:

    500

  • Salary low:

    400

  • Job ref:

    DGA

  • Published:

    about 4 years ago

  • Duration:

    6 Months

  • Expiry date:

    2015-09-20

  • Startdate:

    ASAP

IMMEDIATE START -Data Governance Analyst

Location: London

Duration: 6 Months

Day Rate: £400-£500

Employment Business: Montash

Posted Date: 26/01/15

The successful candidate will be expected to fulfil the role of a Data Governance analyst as follows:

  • Be part of a growing team that is at the heart of our investment in regulatory and business driven change
  • Develop skills in data governance definition and implementation as part of the role
  • Operate as a business analyst in the context of risk and data, contributing to the enhancement and embedding of risk data governance
  • Design and create key documentation, including data definitions, metrics, and supporting methodologies
  • Contribute to the definition and creation of the set of tools used by the team
  • Support the implementation of data governance metrics
  • Contribute to the effort to back-populate data governance to existing stock of critical data.
  • Will be able to report to group level

 

Computing Skills Required:

  • Fluency with MS Office tools
  • Exposure to SQL

 

Knowledge/Skills/Experience Required:

  • Strong analytical skills with a creative and flexible approach to problem solving
  • Capacity to work effectively in a team
  • Good written and verbal communication skills
  • Experience of market and/or counterparty risk

 

Minimum Qualification Requirements:

  • Bachelor's degree in Business, Finance, risk, IT or related field
  • Minimum 3 years of work experience; data or risk related business analysis experience preferred

 

Key Words:

Defining, Implementing, framework, risk systems, governance, governance of data, quality, semantics, data governance, critical data, validation, management