Data-Driven Service Improvement Analyst in Burwood

Data-Driven Service Improvement Analyst in Burwood

Burwood Full-Time 72000 - 88000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse data to uncover insights and support service improvement initiatives.
  • Company: Transport for NSW, a collaborative and innovative team in Burwood.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on continuous improvement and innovation.
  • Why this job: Make a real impact by improving services and enhancing customer experiences.
  • Qualifications: Strong analytical skills and experience in project management.

The predicted salary is between 72000 - 88000 $ per year.

Transport for NSW seeks a Service Improvement Officer to work within a collaborative Service Improvement team in Burwood, NSW.

You will analyse data to uncover insights and support improvement initiatives across Shared Service lines.

You will lead smaller projects, map processes, and develop practical solutions to improve compliance, reduce costs, and deliver customer-focused services.

A hybrid model requires 50% workplace attendance.

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Data-Driven Service Improvement Analyst in Burwood employer: Transport for NSW

Transport for NSW is an exceptional employer that prioritises the wellbeing and work-life balance of its employees while delivering impactful infrastructure projects. Located in Newcastle, this role offers a collaborative work culture with opportunities for professional growth, as well as a commitment to diversity and inclusion, ensuring all voices are heard and valued. Join us in making a difference in the community while advancing your career in a supportive environment focused on achieving Net Zero goals.

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Contact Details:

Transport for NSW Recruitment Team

We think you need these skills to ace Data-Driven Service Improvement Analyst in Burwood

Data Analysis
Process Mapping
Project Management
Problem-Solving Skills
Customer-Focused Service Delivery
Collaboration
Insight Generation