Optimisation and Productivity Expert
2 days ago
About Australian Retirement Trust
We are a trusted organisation with 2.3 million members, managing almost $300 billion in retirement savings.
Our mission is to empower our members to take charge of their finances and face the future with confidence.
As a result, we foster an inclusive culture where everyone feels valued and heard.
This role is an exciting opportunity to join our team as a Strategic Workforce Optimisation Specialist.
Salary and BenefitsThe estimated salary for this position is between AU$120,000 - AU$180,000 per annum, depending on experience.
You'll receive 14% superannuation as standard, which will help you secure your financial future.
Beyond a competitive salary, you'll enjoy excellent training and development opportunities to build a rewarding career.
Work-life balance is also a priority, with a mix of in-person days at our purpose-built hubs and flexible remote work arrangements.
About the RoleIn this critical position, you'll develop and implement strategic workforce optimisation plans for our Member Services contact centre.
Your key responsibilities will include:
- Managing and growing the strategic portfolio while supporting the Workforce Optimisation Team Leader.
- Mentoring and training team members, ensuring they have the skills needed to excel in their roles.
- Producing long-term resource forecasting models that consider operational and budgetary constraints.
- Maintaining and improving resourcing models through data analysis and collaboration with stakeholders.
- Analyzing workforce performance metrics and providing actionable insights to drive business growth.
- Implementing strategies to enhance productivity and efficiency within the contact centre.
To succeed in this role, you'll need:
- Tertiary qualifications or equivalent industry experience.
- Knowledge of contact centre-related workforce planning requirements and methodologies.
- Experience working with WFM and telephony solutions.
- Strong analytical skills and ability to interpret complex data.
- Excellent communication and interpersonal skills.
We encourage applicants from diverse backgrounds to apply.
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