SR Financial Analyst I

Paymentus Group Inc

About The Position

We’re looking for a Senior Financial Planning & Analysis (FP&A) Analyst to join our team and play a key role in how we plan, track, and think about the business. This person will work closely with Finance leadership and cross-functional partners to support forecasting/budgeting, reporting, strategic initiatives, and decision-making across the company.

Requirements

  • 5–8+ years of experience in FP&A, corporate finance, or related roles
  • Strong modeling skills in Excel – you’re comfortable building from scratch
  • Ability to work with large datasets and turn them into actionable insights
  • Clear communicator – able to explain financial concepts to non-finance partners
  • Comfortable operating under tight deadlines and shifting priorities, with the ability to stay organized, manage multiple workstreams, and maintain accuracy
  • Detail-oriented, with a strong focus on accuracy and quality, while maintaining the ability to step back and keep the broader business context in mind

Nice To Haves

  • Experience with Tableau, Sage InTacct, Snowflake is a plus
  • Demonstrated ability (or strong interest) in leveraging AI tools to improve analysis, drive efficiencies, and enhance productivity

Responsibilities

  • Own and improve monthly forecasting and planning processes
  • Co-lead the transition of forecasting and financial reporting to an in-house tool, partnering with technical teams, driving rigorous testing and validation, and helping design and implement the future-state solution
  • Partner with teams across the business (Sales, Ops, Accounting, Pricing, HR, etc.) to understand performance drivers and financials impact
  • Build and maintain financial models that support strategic decisions
  • Analyze variances vs. plan/forecast, clearly explain drivers for senior-level audience
  • Prepare reporting materials for leadership, including decks and summaries
  • Identify and implement opportunities to automate and enhance processes, reporting, and data quality, leveraging AI where appropriate
  • Support ad-hoc analysis as business needs evolve
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