About Megaport
We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.
Our Team Culture
We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.
We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.
Your Role
The Finance Data Specialist owns the organisation's finance data, planning and reporting platforms. The role develops and administers the IBM Planning Analytics (TM1) environment, builds and maintains Power BI reporting, and acts as the finance data owner for the curated datasets in Databricks that underpin both.
Working within the Finance and Data Platforms team and partnering closely with Financial Planning & Analysis, Accounting and the Data team, the role ensures that finance data is accurate, well-governed, reconcilable to source systems and delivered in a form that supports planning, reporting and decision-making.
The successful candidate combines hands-on technical capability in TM1 and Power BI, strong SQL and data modelling skills, and a solid understanding of finance data, processes and reporting requirements.