Payments Service Dashboards & SLA Analyst in Melbourne

Payments Service Dashboards & SLA Analyst in Melbourne

Melbourne Full-Time 55688 - 68063 $ / year (est.) On-site
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At a Glance

  • Tasks: Create and automate dashboards for operational reporting in service management.
  • Company: Join Worldline Service Australia, a leader in payment solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Collaborate with tech experts in a dynamic and innovative environment.
  • Why this job: Make an impact by enhancing customer reviews with insightful data visualisations.
  • Qualifications: Experience in dashboard creation and understanding of SLAs required.

The predicted salary is between 55688 - 68063 $ per year.

Worldline Service Australia is seeking a dashboard and reporting analyst to establish and deliver operational reporting across service management.

You will interpret contractual SLAs, identify data sources and automate reporting to support monthly customer reviews.

You'll collaborate with Data Engineers and AI Developers to build dashboards using Power BI/Tableau and contribute to governance discussions within the payments domain.

Payments Service Dashboards & SLA Analyst in Melbourne employer: ANZ Worldline Payment Solutions

Join a dynamic financial services company in Melbourne that prioritises employee growth and development, offering comprehensive training and support for your career advancement. With a strong focus on teamwork and collaboration, you'll thrive in a vibrant work culture that values exceptional customer service and innovation in the fintech space. Enjoy unique benefits such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

ANZ Worldline Payment Solutions Recruitment Team

We think you need these skills to ace Payments Service Dashboards & SLA Analyst in Melbourne

Dashboard Development
Reporting Analysis
Operational Reporting
SLA Interpretation
Data Source Identification
Automation of Reporting
Power BI