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Help us deliver like never before 

Australia Post is delivering like never before. As our network continues to evolve, accurate forecasting and trusted data are critical to making the right decisions at the right time. 

We’re looking for a Data Solutions Analyst / Scientist to lead the development of forecasting and AI-enabled models, scalable data products and decision-ready insights that shape how our national network operates. 

 
About the opportunity 

This is a high-impact role sitting within Network Insights, Analytics and Reporting team, where you’ll own forecasting across Australia Post’s end-to-end network from first mile through to delivery.  

You’ll work in a fast-moving operational environment, partnering closely with Operations, Planning, Finance, Commercial and Technology teams.

This role suits someone who can bring structure to ambiguity, understand uncertainty, and translate complex modelling into clear, actionable insights that drive real operational outcomes.  

About the role 

You will lead the development and continuous improvement of forecasting solutions that support both operational execution and long-term network strategy.  

Working with large, complex datasets, you’ll build and manage models that inform everything from daily planning decisions through to multi-year volume forecasts and network optimisation.  

 
What you’ll deliver 

Forecasting & strategic planning 

• Lead Network Operations end-to-end network forecasting across first, middle and last mile and interconnections across our Enterprise forecasting analytical teams  
• Enhance short and long-range volume forecasts so we can plan, execute and deliver beyond customer and commercial expectations 
• Build scenario models and sensitivity analysis to support planning under uncertainty 
• Integrate internal data with external drivers (economic, demographic, market trends) 

Stakeholder partnership & decision influence 

• Partner with operations, planning and commercial teams to align forecasts to decisions 
• Translate complex outputs into clear, decision-ready insights and narratives 
• Influence trade-offs between cost, service, capacity and performance outcomes 
• Build trust in forecasts through transparency, governance and consistency 

Advanced analytics & modelling 

• Apply statistical, machine learning and AI methods where appropriate, including time series forecasting, regression, causal modelling, anomaly detection, classification and clustering. 
• Continuously improve forecast accuracy, bias tracking and model performance 
• Determine when advanced modelling adds value

Data & analytics engineering 

• Design and build scalable, analytics-ready datasets supporting forecasting and planning 
• Develop production-grade data models and forecasting pipelines using SQL and cloud platforms such as GCP and BigQuery, with exposure to tools such as Dataform or Vertex AI highly regarded. 
• Apply analytics engineering practices
• Ensure strong data governance, quality and documentation across forecasting pipelines   

Commercial impact & continuous improvement 

• Identify opportunities to improve cost efficiency, service outcomes and network performance 
• Translate insights into actionable changes across planning and operations  

About you 

You’re a pragmatic and commercially minded problem solver who thrives at the intersection of data, operations and decision-making. 

You’re comfortable working with ambiguity, enjoy challenging assumptions, and care deeply about building solutions that are scalable, governed and genuinely used by the business.  
  
You’ll also bring 

• 5+ years’ experience in forecasting, data science or advanced analytics (ideally within logistics, supply chain or operations)
• Strong experience building forecasting models using time series, regression or machine learning techniques
• Experience working with large, complex, multi-source datasets 
• Willingness to learn and apply and showcase a challenging mind to improving forecasts and how they can be used in the business for commercial and service improvements 
• Advanced SQL capability and experience with cloud platforms (e.g. GCP, BigQuery) 
• Experience with Python/R or forecasting tools (e.g. Prophet, ARIMA, XGBoost) 
• Strong stakeholder engagement skills, with the ability to translate complex concepts into clear insights
• Experience with analytics engineering practices (testing, Git, CI/CD workflows) 
• Data visualisation and storytelling capability (e.g. Tableau, Looker)
• Commercial acumen and an understanding of cost, service and capacity trade-offs 

Experience in logistics, network operations or planning environments is highly regarded.  

How we’ll deliver for you 

At Australia Post, we invest in our people and foster a supportive, inclusive workplace: 

• Career development and learning opportunities 
• Flexible working arrangements 
• Strong focus on wellbeing, safety and inclusion 

We’re delivering together 

At Australia Post, we acknowledge the Traditional Custodians of the land on which we operate, live and gather as employees. 

We believe our business should reflect the diverse communities we operate in and are proud to be an inclusive workplace for people from all walks of life. We encourage applications from people of all ages, genders and backgrounds including Aboriginal and Torres Strait Islander peoples, People with Disability, LGBTQIA+ and Refugees. 

We are one of the largest organisations in Australia to successfully achieve Disability Confident Recruiter status. We are committed to providing an inclusive and barrier-free recruitment process and workplace for those living with a disability and are committed to reviewing and removing bias in our processes to create a gender-equitable recruitment experience and workplace.  If you have any questions about accessibility, please contact our Diversity & Inclusion team on inclusivecareers@auspost.com.au.