Sr. Business Systems Analyst (Fintech)

TL;DR

Sr. Business Systems Analyst (Fintech): Driving leading-edge solutions within our Procure-to-Pay (P2P) ecosystem by analyzing complex business problems and designing automated system solutions. Focus on leveraging AI to streamline P2P processes, deriving actionable insights from large datasets, and ensuring technical solutions drive measurable business results.

Location: US-CA-Dublin

Salary: $132K - $173.2K

Company

hirify.global is about empowering enterprises to achieve their full potential — and people too.

What you will do

• Analyze complex business problems and design automated system solutions.
• Develop and execute roadmaps for leveraging AI to streamline P2P processes.
• Partner with Procurement and Finance leadership to identify and scope impactful requirements in designs.
• Analyze large datasets to derive actionable insights, identifying bottlenecks in the procurement funnel and opportunities for system optimization.
• Create and maintain high-quality documentation throughout the software development lifecycle.
• Act as a versatile technical resource, willing to support systems needs across various Finance processes.

Requirements

• 5+ years in a hands-on role focused on enterprise financial application delivery.
• Proven experience leading the administration of enterprise SaaS applications.
• Deep functional understanding of Procurement and Accounts Payable business processes.
• Strong knowledge of data modeling and experience analyzing large datasets.
• SQL proficiency and experience with hirify.global are preferred.
• A continuous learner who stays on the leading edge of AI developments.

Culture & Benefits

• A team-first collaborator who jumps in to support colleagues and stakeholders whenever challenges arise.
• The ability to see the "big picture" of how data flows between applications in the P2P landscape.
• Self-motivated and takes initiative.
• Possess a natural curiosity to solve "unsolvable" problems and the flexibility to remain productive in ambiguous situations.