Systems Support Analyst

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We are looking for a dynamic, solutions-oriented systems support analyst to join the team at RACV!

Summary about this job

Business/Systems Analysts

Company: RACV

Location: Melbourne

Work type: Full Time

Salary: n\a

Phone: +61-2-3889-4446

Fax: +61-3-7288-8095

E-mail: n\a

Site:

Detail information about job Systems Support Analyst. Terms and conditions vacancy

  • CBD Location Permanent Full Time Position
  • Permanent Full Time Position
  • Excellent Employee Benefits

Headquartered in Melbourne CBD, RACV’s Roadside Assistance Systems (RAS) Support department is dynamic, fast paced and interesting environment. With a number of projects in the pipeline an opportunity has arisen for a Systems Support Analyst to join the team. As the successful candidate you will be highly analytical with a strong grasp on data, and demonstrate the ability to learn new systems and their dynamics very quickly. Strong communication skills coupled with a solutions-oriented attitude will succeed in this position.


What your responsibilities will include:

  • Developing appropriate system solutions to meet business needs;
  • Providing technical support for all RAS technological platforms (including system administration of client server based system, managing voice/data communications protocol, and maintaining RAS hardware infrastructure
  • Conducting analysis, developing recommendations and producing reports
  • Making recommendations and providing technical advice to internal and external stakeholders regarding RAS performance, upgrades and system enhancements

What you’ll bring to the role:

  • Demonstrated knowledge in Oracle RDBMS, Access and Excel development tools, Visual Basic, PL/SQL Developer and Microsoft.net framework
  • Proven experience in statistical analysis and statistical analysis tools
  • Ability to relate well to people of all levels
  • Project management skill to manage software development projects
  • Outstanding communication and interpersonal skills
  • A natural curiosity to extract insight from large data sets

If this is sounds like you, then apply now!

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