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 to influence decisions that balance service, cost, safety and capacity. 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. You’ll also play a key role in modernising our forecasting capability building governed, scalable data solutions that move us beyond one-off analysis to trusted, production-grade forecasting tools used across the business 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,planningand commercial teams to align forecasts to decisions Translate complex outputs into clear, decision-ready insights and narratives Influence trade-offs between cost, service,capacityand performance outcomes Build trust in forecasts through transparency,governanceand consistency Advanced analytics & modelling Apply statistical, machine learning and AI methods whereappropriate, including time series forecasting, regression, causal modelling, anomaly detection,classificationand clustering. Continuously improve forecast accuracy, biastrackingand model performance Determinewhen advanced modelling adds value vs simpler approaches 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 (modelling, testing, CI/CD, version control) Ensure strong data governance,qualityand documentation across forecasting pipelines Commercial impact & continuous improvement Identifyopportunities to improve cost efficiency, serviceoutcomesand network performance Translate insights into actionable changes across planning and operations Champion a data-driven culture and continuous improvement 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, datascienceor advanced analytics (ideally withinlogistics, supplychainor operations) Strong experience building forecasting models using time series,regressionor machine learning techniques Experience working with large, complex, multi-source datasets Willingness to learn and apply andshowcasea 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,serviceand 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.
