Data Solutions Analyst / Scientist

JOB TITLE:Data Solutions Analyst/Scientist

REPORTS TO: Manager, Network Reporting

LOCATION:Amman, Jordan

Working hours: Flexible to accommodate Australian time zone

About the opportunity

We’re seeking a Data Solutions Analyst / Scientist to lead forecasting, AI-driven models and scalable data products that support Australia Post’s national network operations. As part of the Network Insights, Analytics and Reporting team, you’ll own end-to-end network forecasting and partner with Operations, Planning, Finance, Commercial and Technology teams to deliver decision-ready insights. This high-impact role is ideal for someone who thrives in ambiguity, understands uncertainty, and can translate complex analytics into clear actions that improve service, cost, safety and network capacity 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’llbuild and manage models that inform everything from daily planning decisions through to multi-year volume forecasts and network optimisation.

What you’lldeliver

Forecasting & strategic planning

• LeadNetwork Operations end-to-end network forecasting across first, middleand last mileand interconnections across our Enterprise forecasting analytical teams

• Enhance shortand long-range volume forecastsso we can plan, executeand 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 where appropriate, including time series forecasting, regression, causal modelling, anomaly detection, classificationand clustering.

• Continuously improve forecast accuracy, bias trackingand 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 Dataformor 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, service outcomesand network performance

• Translate insights into actionable changes across planning and operations

• Champion a data-driven culture and continuous improvement

About you

• 5+ years’ experience in forecasting, data scienceor advanced analytics (ideally within logistics, supply chainor 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 and showcasea 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