Statistician - Geospatial Forecasting

At TOMRA we are all about Clean Loop Recycling Our reverse vending technology enables the collection of used drink containers to ensure that containers have the best chance of being turned back into containers again. It is part of a continuous recycling process which we call Clean Loop Recycling, to ensure that fewer resources are used, less energy is wasted, and containers do not end up in our oceans, streets, or landfill. We're proud to be collecting containers across Australia, with over 320 collection points across NSW. In addition, we have state-of-the-art Recycling Centres in Queensland, Northern Territory, Western Australia, Victoria and Tasmania.  

As a 'Looper' at TOMRA, you will be working amongst a team of people, who are very passionate about doing good for the environment and our community.   

TOMRA is an equal opportunity employer, where we recognise the diversity of our workforce and community – be it on the basis of gender, age, culture, religion, language or personal circumstances. TOMRA is also committed to building on the perspectives, experience, knowledge and skills that this diversity brings to our organisation.   

Find out more about TOMRA at: Facebook, Instagram, X, and LinkedIn.

TOMRA Collection Australia are seeking a highly analytical and detail-oriented Statistician - Geospatial Forecasting to play a key role in guiding strategic business decisions across the Pacific region.

 In this role, you'll leverage geospatial and volume data to support site planning and optimisation, assess profitability, and ensure our network coverage aligns with service delivery goals.

With a strong foundation in data modelling and statistical analysis, you'll evaluate key variables such as population density, socioeconomic indicators, drive-time accessibility, and competitive landscape. You'll also lead the governance of geospatial mapping standards across TCA, ensuring accuracy, consistency, and compliance in all mapping activities.

Some other duties may include (But not limited to):

• Develop and optimise geospatial and financial data models to forecast site profitability and performance potential for individual sites and networks of collection points across Pacific markets.
• Analyse demographic, economic, and mobility datasets to inform site selection strategies.
• Conduct holistic reviews of state networks to identify service gaps, overlaps, and opportunities for improved user convenience.
• Recommend network adjustments or expansions based on data-driven insights and user accessibility needs.
• Ensure geospatial mapping governance is maintained across TCA, including adherence to data standards, documentation protocols, and version control.
• Collaborate with internal teams to align mapping outputs with business goals and operational feasibility.
• Create visual mapping outputs and dashboards to communicate insights to stakeholders.
• Maintain and update mapping databases and ensure data integrity.
• Liaise with external data providers and local authorities to enrich datasets.
• Contribute to stakeholder mapping and engagement planning.

What makes a great Geospatial Data Analyst at TOMRA:

• Bachelor's degree in data science, Statistics, Economics, or related fields that include multivariate statistics modelling
• Proven experience in data modelling and multivariate statistics, and associated software tools
• Experience, or interest in learning, GIS tools (e.g., ArcGIS, QGIS), Excel, and data visualisation platforms.
• Strong understanding of demographic and socioeconomic data sources.
• Ability to translate complex data into actionable insights with a strategic mindset
• Excellent communication and stakeholder engagement skills.
• Experience working in cross-functional teams and fast-paced environments.
• Familiarity with Pacific region market dynamics is highly desirable.
• Understanding of governance frameworks and experience implementing data standards across teams.

Does this sound like you? If so we would love to hear from you

Find out more about TOMRA at: Facebook, Instagram, X, and LinkedIn