WHO WE ARE…

We are Payactiv, a FinTech company in the heart of Silicon Valley, devoted to giving workers access to their earned wages when they need them. Payactiv is the pioneer and industry leader in Earned Wage Access. We are the only Certified B Corporation and Public Benefit Corporation in our industry. Our app provides millions with financial services that help them avoid debt, manage their finances, and regain flexibility to pay for things on their own schedule.
Payactiv is seeking a data-driven Accounts Receivable Analyst to be the go-to resource for AR performance reporting, collections insights, and receivables trend analysis. This role blends financial operations expertise with analytical acumen, ensuring Payactiv’s AR processes are not only accurate and efficient, but also informed by timely, actionable insights.

You will create dashboards, identify collection risks, forecast payment trends, and partner with leadership to drive data-backed decisions that improve cash flow and employer partner relationships. You will report to the VP of Finance and play a pivotal role in driving the success of a major business initiative.

• Serve as the primary point of contact for AR metrics, analysis, and reporting.
• Create and maintain AR dashboards in Excel and other internal tools to track KPIs such as DSO, aging trends, and collection effectiveness.
• Analyze payment behaviors and develop actionable recommendations to improve collection rates.
• Forecast receivables and model cash flow impacts based on payment trends.
• Prepare monthly and ad hoc AR reports for senior leadership and cross-functional teams.
• Collaborate with the AR Specialist and Finance team to ensure accurate invoicing and payment posting.
• Support reconciliation of employer accounts, identifying and resolving discrepancies.
• Assist with month-end close activities by providing data analysis and reconciliations.
• Identify bottlenecks or inefficiencies in AR workflows using data-driven insights.
• Recommend and implement reporting enhancements to support faster, more accurate decision-making.
• Partner with Engineering and Finance Ops to enhance AR data integrity and automation.