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Senior Bureau Analyst

Experian is an Equal Opportunity Employer Including Disability/Veterans Job Number: 181312 Melbourne, Australia


Experian ANZ are experiencing rapid growth and are looking for an experienced analyst to join our Consumer Credit Bureau team in Melbourne. As a Senior Credit Bureau Analyst you will undertake the design, development and implementation of Credit Risk scorecards and data analysis to support our Credit Services business. To be successful in this role, you will have strong analytical skills and experience in identifying key trends across large amounts of data.

About you

  • Strong organisational, customer service, client relationship and communication skills
  • Detail orientated with good problem solving and analytical skills
  • A huge appetite to develop your skills and grow within the business
  • Ability to multitask in a busy business and fun team

Key focus

  • Develop analytical solutions using best practice analytical techniques and following established quality procedures
  • Extract, formulate and manipulate data to create the structured samples necessary to address business requirements
  • Identify and contribute to the resolution of data or analytical problems which may impact on results
  • Share findings with peers from other teams and management where required
  • Improve product knowledge and technical/analytical skills through continual learning

Knowledge, Experience & Qualifications

You will ideally have experience and skills in the following areas:

  • Experience working in a credit risk modelling / analytical role including statistical / analytical project work
  • Understanding of how scoring models are used within implemented solutions
  • Strong coding skills
  • Degree or equivalent standard, with a high numeric content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences
  • Good interpersonal skills
  • Collaborative, positive and team orientated
  • An inquisitive mind, focused on addressing and solving data and analysis problems
  • Experience in manipulating large datasets