Data Analyst

17 May 2017
16 Jun 2017
Contract Type
Full Time

An exciting opportunity to be involved in the Data Loss Prevention Team.

The team is responsible for oversight, administration, governance and reporting of sensitive data across the bank. As well as assessing new opportunities for protection of the banks data, you will also be involved in utilising the tools provided to effectively administer, analyse and report on data leakage and ensuring Data Movement Processes are adhered to.

The role will be to administer quarantined emails containing sensitive data, analyse the information and identify ways to improve the governance, processes and behaviours to protect information. The role will also include deputising for the Operations Manager, and performing key systems administration tasks.

Duties and Responsibilities

  • Responsibility for setup, configuration and maintenance of system
  • Network monitor policies
  • E-mail prevent policies
  • Design roles and capabilities within DLP console, manage and control the various roles within DLP
  • User administration/login management
  • Modifying DLP Policies as needed for business and compliance requirements: response management, threshold management, exclusion management. Data identification, Rule management, Group Management.
  • Create test scripts
  • Create test plan and use cases needed for business impact
  • Analyse network data & generate recommendations
  • Strict adherence to maintenance of systems documentation
  • Ensuring that DLP solutions are configured as per best practice

Key Skills and Experience Required

  • System programming knowledge (Regex) preferred
  • Excellent communication skills (verbal and written) across all levels
  • Ability to adapt your style of communication to the appropriate audience
  • Ability to communicate clearly and be articulate
  • Decision making skills with good judgement
  • Ability to analyse and review data and control reports
  • Recognise gaps in processes/process improvement opportunities
  • Good understanding of the business environment and the value of quality MI
  • Good quality data presentation skills
  • Good systems knowledge