General Ledger Analyst – Process Optimization

General Ledger Analyst – Process Optimization

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Are you someone who’s comfortable crunching numbers, tinkering with a spreadsheet formula, or testing a new automation just to see if it’ll work? This role combines accounting execution, systems thinking, and innovation through automation and AI — ideal for someone eager to learn, curious about how things work (and why), and motivated to continuously improve how we operate as a team.

A bit of experimentation and humor will fit right in - we promise no one’s allergic to “what if we tried this?” ideas.

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

• Partner with the core GL team to support process improvement and automation initiatives through structured testing, documentation, and validation. Contribute to requirement gathering, perform UAT (User Acceptance Testing), and help reconcile and validate data during automation rollouts and post-implementation reviews to ensure smooth adoption.
• Explore and apply emerging AI tools to enhance accounting processes and workflows. Review existing spreadsheets and reconciliations to identify where AI can improve accuracy, efficiency, or insight. Further partner with the GL and Fin Tech teams to pilot scalable use cases for the broader GL and Finance team.
• Build and maintain trackers, documentation, and user guides to support new system implementations, control updates, and workflow enhancements.
• Support monthly close activities to ensure accuracy, completeness, and timeliness of financial results. Responsibilities include preparing and booking journal entries, performing account reconciliations, executing flux and variance analyses, and assisting in control activities.
• Work with teammates across GL and Engineering teams to identify process inefficiencies and explore scalable solutions. Learn how accounting logic translates into system behavior — and how thoughtful tweaks can create measurable impact.

• Bachelor’s degree in Accounting, Finance, Information Systems, Computer Science, or a related field.
• 2+ years of experience in accounting, audit, finance systems, or data analytics.
• Foundational understanding of GAAP/IFRS and the accounting close process.
• Strong proficiency in Excel or Google Sheets, including lookups, pivots, and basic automation formulas. Ability to work with large datasets and perform reconciliations or validations to ensure data accuracy.
• Curiosity about and comfort experimenting with AI and automation tools to enhance or automate accounting workflows.
• Detail-oriented with strong documentation and organization skills.
• Comfortable learning new systems and technologies in a fast-moving environment.
• Clear and concise communicator who can explain findings to both accounting and technical stakeholders.
• Proactive, resourceful, and eager to explore “how things work” and how they can work better.

• Exposure to ERP systems (Oracle Fusion, SAP, Net Suite, or similar) and understanding of how transactions flow through subledgers to the GL.
• Experience with Tableau or other visualization tools for building dashboards or reporting views.
• Exposure to Blackline and familiarity with reconciliations or journal workflows within that platform.
• Familiarity with (or interest in learning) SQL, Python, or automation tools such as Workato or UiPath.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones.

For this role, our…