EL1 Workforce Modeller

Talent International; City of Melbourne; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Talent International is seeking an experienced Workforce Modeller to join a major Federal Government transformation program in Australia. The role provides technical leadership across workforce modelling, forecasting and analytics to translate policy and operational challenges into evidence-based workforce solutions.

The successful candidate will design models, forecasts and analytical solutions, mentor analysts, and engage with senior stakeholders to support reform priorities.

Qualifications

• Extensive experience in workforce modelling, forecasting and analytics.
• Ability to translate policy and operational questions into practical models.
• Experience building maintainable analytical products using Microsoft tools.
• Strong documentation, testing and governance practices.
• Proven capability to lead and mentor analysts.
• Excellent stakeholder engagement and communication skills.
• Australian Citizenship is a mandatory requirement.

Responsibilities

• Design, develop and maintain workforce models, forecasts and analytical solutions.
• Translate complex requirements into scalable technical products.
• Develop implementation scenarios and analytical insights for executive decisions.
• Apply advanced problem-solving and systems thinking in a Microsoft environment.
• Establish technical standards across QA, testing and governance.
• Build reusable modelling frameworks and adaptable solutions.
• Mentor analysts and strengthen the workforce modelling capability.
• Engage with senior stakeholders to communicate findings and manage risks.

Skills

Workforce modelling

Forecasting

Analytics

Technical leadership

Microsoft tools

Tools

Microsoft tools

Job description

An opportunity is available for an experienced Workforce Modeller to join a major Federal Government transformation program. This role will provide technical leadership across workforce modelling, forecasting and analytics, helping translate complex policy and operational challenges into practical, evidence-based workforce solutions.

The role

Working within a specialist future-state modelling team, you will:

• Design, develop and maintain workforce models, forecasts and analytical solutions.
• Translate complex workforce, policy and operational requirements into scalable technical products.
• Develop implementation scenarios and analytical insights to support executive decision-making.
• Apply advanced problem-solving, systems thinking and solution design within an enterprise Microsoft environment.
• Establish technical standards across documentation, testing, quality assurance and governance.
• Build reusable modelling frameworks and solutions that can be maintained and enhanced over time.
• Mentor analysts, share technical knowledge and strengthen workforce modelling capability across the team.
• Engage with senior stakeholders to communicate findings, manage risks and support reform priorities.

About you

• Strong experience in workforce modelling, forecasting, analytics or a closely related discipline.
• Advanced technical capability in developing sophisticated analytical models and systems.
• The ability to turn complex data, policy and operational questions into clear and practical solutions.
• Experience designing maintainable analytical products using enterprise-approved Microsoft tools and services.
• Strong knowledge of technical documentation, testing, quality assurance and governance practices.
• Demonstrated technical leadership, including mentoring and capability development.
• Excellent stakeholder engagement skills and the ability to present authoritative advice on complex matters.
• The ability to work independently, manage competing priorities and operate effectively in a changing environment.
• Australian Citizenship is a mandatory requirement to be eligible for this federal government role.

Additional information

This is an EL1-level contract through to 31 December 2027, offering hybrid working arrangements. Successful candidates will be required to complete relevant pre-engagement screening and role-specific checks.