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’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 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, 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
- Champion a data-driven culture and continuous improvement
About you
- 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
Skills Required
- 5+ years experience in forecasting, data science or advanced analytics
- Experience in 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
- Advanced SQL capability
- Experience with cloud platforms (e.g. GCP, BigQuery)
- Experience with Python or R and forecasting tools (e.g. Prophet, ARIMA, XGBoost)
- Experience with analytics engineering practices (testing, Git, CI/CD workflows)
- Experience building production-grade data models and forecasting pipelines
- Exposure to Dataform or Vertex AI
- Data visualisation and storytelling capability (e.g. Tableau, Looker)
- Strong stakeholder engagement and ability to translate complex concepts into clear insights
- Commercial acumen and understanding of cost, service and capacity trade-offs
- Willingness to learn and continuously improve forecasting approaches
What We Do
Global ecommerce solutions at your fingertips! We are APG! We are here to support your cross-border ecommerce growth and have a tracked record of iconic brands and retailers trusting us to elevate their businesses worldwide! Our team is highly skilled, passionate about ecommerce, supportive, flexible, and able to define and meet your needs to take your business to the next level! With an established presence in key ecommerce regions, including APAC, UK & Europe and North America, APG provides end-to-end logistics & delivery solutions globally. Our uniqueness is a combination of a strong partnership network of postal operators and best-in-class local delivery companies integrated in customer-centric solutions backed-up by agile and cutting-edge technology. Together we can open new markets and provide more insight into customer needs and buying habits. Most of all, we are driven to deliver outstanding experience and value to our customers and beyond. Contact: [email protected]
