This analyst will shape the data foundations Rabobank Australia uses to understand sustainability in agriculture. The role combines climate and nature data from varied sources, builds datasets and analytical solutions, and connects these assets with banking systems so teams can use them in decisions and reporting.
The work supports the bank’s stated ambition to help clients move toward net zero and nature positive outcomes. By making agricultural sustainability information more consistent, governed and useful, the role can help bring environmental considerations into client and portfolio insight across a specialist agribusiness bank serving farmers and food value chains.
This suits someone who pairs strong data skills, such as SQL or Python, with practical knowledge of agricultural production and agribusiness, and can explain technical findings clearly to business, sustainability and technology colleagues.
Job FAQs
What are the main missions and responsibilities of this role?
The analyst would design and maintain data solutions that capture, integrate and analyse climate and nature metrics relevant to agricultural production and agribusiness. This includes developing pipelines, models and datasets for sustainability analysis from both client and portfolio perspectives.
A further focus is data quality and governance: working with data and technology colleagues on standards, lineage, controls, security and alignment with enterprise models and reporting frameworks. The longer-term goal is to make sustainability information usable in routine banking decisions and reporting.
Key learning opportunities for this job
The role could build practical expertise in applying climate and nature metrics to agriculture and finance, including how sustainability information informs client and portfolio analysis. It also offers exposure to data governance, enterprise systems, audit and reporting requirements in a banking environment.
Working across sustainability, banking, data and technology teams may develop the ability to translate technical outputs for varied audiences. The posting mentions education assistance, but does not specify particular courses, certifications or a formal mentoring program.
How does the ideal candidate look like (experience, skills)?
The posting calls for strong experience in data science, analytics or data management, along with essential knowledge of agricultural production and agribusiness. A degree in agriculture, data science, finance, business or a related field is listed; postgraduate study in data, analytics or sustainability is desirable.
The candidate should be comfortable with tools such as SQL or Python and understand data quality, lineage, governance and controls. Experience with climate, sustainability or ESG data is an advantage. Clear communication, structured problem solving, prioritisation and confidence working between technical and business teams also matter.
Advice to stand out and make a successful application
Make the application specific by describing a data solution you delivered, the sources it brought together, the governance controls applied and how people used its outputs. Explain your personal contribution and provide clear evidence of scale, quality improvements or decision support.
Connect that example to your agricultural production or agribusiness knowledge. If you have worked with climate, nature or ESG data, show how you handled definitions and reporting needs; if not, explain how your data experience transfers. The posting says deep geospatial or remote sensing expertise is not required, so focus on analytics, governance and communication instead.
What aspects of the company's sustainability is this role likely to focus on?
The role is likely to focus on climate and nature-related information connected to agricultural production and agribusiness. Its data solutions are intended to support sustainability reporting and decisions at client and portfolio levels, in line with Rabobank Australia's stated support for clients' transition to net zero and nature positive outcomes.
The work is also about embedding sustainability measures into banking data and processes. The posting does not name particular emissions targets, nature indicators or reporting standards, so the specific metrics would depend on internal frameworks and business needs.
What are the main challenges someone in this role might face?
A likely challenge is bringing together varied agricultural, climate and nature data while keeping definitions, quality and lineage consistent. The analyst must balance analytical usefulness with security, audit, regulatory and enterprise governance requirements.
Another challenge could be translating technically complex measures into information that business and banking colleagues can use. Agricultural contexts vary, and the role needs to connect sustainability metrics with both client and portfolio perspectives while managing competing priorities and deadlines.
How could a typical day look like for someone in this position?
A day could alternate between developing or checking data pipelines and models, reviewing data quality, and discussing requirements with banking, sustainability, data and technology colleagues. The analyst might investigate gaps in a dataset, refine a metric, or check how a sustainability measure maps to an enterprise model.
Some time could go toward explaining findings, coordinating priorities with the Data Systems and Governance Lead, and supporting colleagues' understanding of sustainability data. The balance would likely vary with reporting timelines, delivery milestones and emerging data issues.
What are the opportunities for professional growth and development in this role?
The role could deepen expertise across agricultural sustainability data, climate and nature metrics, and the governance needed to use them in banking. It may also build experience connecting data engineering and analytics with reporting, client insight and portfolio decision-making.
Cross-functional work could provide a path toward broader data leadership, sustainability analytics or ESG reporting roles. The posting mentions education assistance, though it does not specify promotion routes, certifications or a formal development plan.
The main stakeholders you might be interacting with
Internal stakeholders are likely to include banking teams, sustainability specialists, data and technology colleagues, and the Data Systems and Governance Lead. Their collaboration would cover business requirements, metric definitions, data integration, governance and the use of insights in decisions.
The work may also involve teams responsible for reporting, risk, security, audit or regulatory controls, given the stated need to meet those requirements. The role's analysis covers client and portfolio perspectives, but the posting does not specify direct interaction with farmers or external partners.
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