AI-Driven Finance Systems Analyst (NetSuite & Close)

OnePay; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

OnePay seeks a skilled Business Systems Analyst to partner with Finance, Accounting, and Treasury, driving the evolution of OnePay’s financial systems. You will automate finance processes, safeguard applications, and support critical month-end close using NetSuite, Ramp, Numeric, Cube, Kyriba, and Atlar.

The role emphasizes techno-functional finance, AI-enabled process improvements, and collaboration with software/data engineering to deliver scalable capabilities for finance teams.

Qualifications

• Bachelor’s or equivalent in Finance, Accounting, IS, or related field; 8–10 years if associate degree.
• 8+ years of ERP financial applications experience (NetSuite preferred).
• Knowledge of finance close and audit functions.
• Experience across delivery lifecycle phases.
• Strong communication and teamwork skills.
• Ability to leverage AI to automate finance workflows.

Responsibilities

• Own day-to-day support and enhancement of OnePay’s finance systems (NetSuite, Ramp, Numeric, Cube, Kyriba/Atlar).
• Manage change, security roles, and approvals; ensure data integrity and reports.
• Support month- and quarter-end close and reconciliations across apps.
• Assist FP&A planning, budgeting, and forecasting models with data feeds.
• Collaborate with Treasury on cash positioning and bank connectivity.
• Create standards and documentation; participate in SOX audits and testing.

Skills

Techno-functional finance

AI/LLM in finance

SOX/compliance awareness

Education

Bachelor’s degree

Associate degree

Tools

NetSuite Financials

Ramp

Numeric

Cube

Kyriba

Atlar

Job description

OnePay seeks a skilled Business Systems Analyst to partner with Finance, Accounting, and Treasury, driving the evolution of OnePay’s financial systems. You will automate finance processes, safeguard applications, and support critical month-end close using NetSuite, Ramp, Numeric, Cube, Kyriba, and Atlar.

The role emphasizes techno-functional finance, AI-enabled process improvements, and collaboration with software/data engineering to deliver scalable capabilities for finance teams.