Posted 20 June, 2026
FP&A Analyst
Zeller
Melbourne
Full Time
Reference: 113_554459_ac132245-7a4e-4880-8011-38c9535a10bd
About Zeller
At Zeller, we're champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up reimagining business banking and payments.
We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their finances. So we're hard at work building the tools to make it happen.
Zeller is growing fast, backed by leading VCs, and brings together a global team of passionate payment and tech industry professionals. With an exciting roadmap of innovative new products under development, we are building a supportive and high performing team to inspire change in the outdated banking solutions. If you are passionate about innovation, thrive in dynamic environments, embrace new possibilities, hate bureaucracy, and can't think of anything more exciting than evolving the status-quo, then read on to learn more.
Zeller is building one of the most AI-leveraged finance functions in the market - a small team that punches far above its weight by treating AI as core infrastructure, not a novelty. We're looking for an FP&A Analyst to be a driving force in that.
This isn't a run-the-playbook role. You'll dig into the economics of a high-volume payments business, work alongside the people setting commercial strategy, and help build the AI-powered workflows that let a lean team operate like a much larger one. You'll grow into the team's go-to person on gross margin - learning the cost dynamics of a payments engine to help find efficiencies and sharpen our unit economics - and you'll support Sales and Marketing as a commercial partner.
You'll work across a modern data stack - Databricks, Claude Code, Gemini, Aleph, Xero. You'll have the tools and the encouragement to lean on AI/LLMs to take the manual grind out of the work.
Role Responsibilities
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Commercial Business Partnering
- Pricing: Work with Sales to model and simulate commercial pricing for prospective high-value merchants and partners.
- Target Setting: Help Sales leadership set data-backed quotas, revenue targets, and performance-tracking models.
- Growth: Partner with Marketing and Growth on unit economics (CAC, payback) to optimise acquisition-channel efficiency.
- Margin Analysis: Help decompose margin movement into rate and mix drivers, and surface where the unit economics are moving and why.
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AI Integration & Process Innovation
- AI-Powered Workflows: Build, test, and iterate on AI/LLM tooling that automates manual FP&A work and uncovers insights faster - the difference between a good finance team and a next-gen one.
- Process Transformation: Continually look at FP&A workflows for where AI can remove manual effort and deepen analysis.
- Advanced Analytics: Apply statistical methods (e.g. regression, anomaly detection) to historical data to surface trends, anomalies, and business drivers.
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Financial Modelling & Reporting
- Forecasting Mechanics: Support the core budgeting and forecasting mechanics for Group financials, building oversight across the P&L.
- Model Architecture: Create and enhance the models behind acquiring economics, customer acquisition, and three-way statement forecasting.
- Strategic & Financial Narratives: Prepare monthly financial deep-dives and support the annual plan, distilling complex data into clear stories for leaders.
- Data Visualisation: Build automated dashboards that let leaders make on-demand, data-driven decisions.
What You'll Bring
- A bachelor's degree in Finance, Business, Accounting, or a related field.
- 2+ years in FP&A, Commercial Finance, or Finance Business Partnering.
- Hands-on experience building workflows or tools with AI/LLMs - and genuine enthusiasm for it.
- Strong SQL or BI experience, and comfort navigating large datasets to self-serve answers.
- A solid grasp of statistical concepts and how to apply them to forecasting and analysis.
- Advanced Excel, with a focus on auditability - the integrity backbone under the automation.
- A self-starter who finds the answer rather than waiting for it.
- A structured, methodical approach to problem-solving, and the ability to explain complex ideas to any audience.
Bonus Points
- CA / CPA / CFA / CIMA qualification.
- Experience in working within a high-growth/startup environment.
- Financial Services and/or Payments industry experience.
- Management consulting background.
- A genuine passion for finance transformation and building best-in-class processes.
How we work
At Zeller, we thrive on the energy and fast pace that comes from in-person collaboration and this role is based in our Melbourne CBD office with a general expectation of 4 days on-site per week with an option of 1 day WFH.
Like the rest of the team, you'll benefit from
A competitive salary package, including equity;
A balanced, progressive, and supportive work environment;
Excellent parental leave and other leave entitlements;
A fantastic office environment;
Endless learning and development opportunities;
Plenty of fun and social opportunities - we love to come together as a team;
An ability to influence and shape the future of Zeller as our company scales both domestically and globally;
Being part of one of Australia's most exciting scale-ups.
At Zeller, we celebrate diverse perspectives and experiences, and strongly encourage people of all backgrounds and identities to apply to join our team.
We want you to be able to show up at your best during the recruitment process. Please, let us know if you require any accommodations during your interview process with us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
