Prepare and post journal entries in support of monthly close.
Maintain, reconcile, and analyze general ledger accounts.
Support AR and AP processes, including reconciliations and variance review.
Assist with month-end close schedules and supporting documentation.
Support internal and external audit requests with clear, well-organized workpapers.
Ensure accuracy, consistency, and auditability of accounting outputs.
Work with accounting exports and subledger data in G-Sheets and other cloud-based tools to clean, structure, and analyze information efficiently.
Use advanced spreadsheet techniques (G-Sheets preferred; Excel experience transferable) to automate reconciliations and recurring close tasks.
Build and maintain automated reports, templates, and dashboards that support close and operational visibility.
Leverage AI-assisted tools to identify anomalies and trends, improve data quality, reduce manual, repetitive accounting work.
Ensure any automation or AI-assisted workflow is documented, transparent, and maintainable by other team members.
Identify recurring pain points in close, reconciliations, or reporting and propose incremental process improvements or automation opportunities.
Partner with the Senior Accountant to implement approved changes in a controlled, practical way.
Requirements
2–4 years of experience in accounting, reporting, or accounting-adjacent analysis (quality of experience matters more than exact tenure).
Direct experience supporting month-end close.
Strong understanding of debits, credits, and core accounting fundamentals (GAAP knowledge preferred).
Advanced spreadsheet skills (Google Sheets or Excel), with the ability to build structured logic, manipulate data confidently, and maintain clean models.
Strong analytical thinking and attention to detail; able to identify issues and address them proactively.
Comfortable working with large or messy data exports in a cloud-based environment.
Ability to work independently within a small team — manage priorities, move toward defined goals without daily direction, and take ownership of outcomes.
Clear written and verbal communication skills; able to translate financial or data-driven outputs into understandable insights.
Practical, hands-on problem solver with strong judgment and a willingness to continuously improve processes.
Comfortable learning and adopting new tools, including AI-assisted workflows.