FP&A Analyst II Remote

PayNearMe is seeking a highly analytical and collaborative FP&A Analyst II to support our operating expense (OpEx) and cost of goods sold (COGS) planning forecasting and reporting processes. This role will be a key contributor within the FP&A team with a strong emphasis on hands-on Adaptive Planning work OpEx budgeting and forecasting and partnership with Accounting Engineering and business leaders.

This position is ideal for someone who enjoys working deeply in financial models maintaining forecasting accuracy and translating business and operational drivers into clear financial insights in a fast-growing fintech environment.

Responsibilities

Adaptive Planning & Financial Modeling

• Maintain and enhance Adaptive Planning models for OpEx headcount and select COGS-related expenses
• Update and manage driver-based models (e.g. headcount transaction volumes infrastructure usage)
• Ensure assumptions are accurate documented and aligned with business inputs
• Perform monthly headcount maintenance by reconciling HRIS and Adaptive data (new hires terminations transfers compensation changes and department mapping) and partner closely with People Ops to ensure alignment on hiring status
• Own and monitor the ERP Adaptive integration ensuring data flows correctly and resolving issues when integrations fail

OpEx Budgeting & Forecasting

• Support annual budget reforecast and long-range planning cycles for OpEx across multiple departments
• Partner with budget owners to gather inputs review forecasts and understand changes in spend
• Track one-time costs vendor expenses and reclasses to ensure accurate forecasting and reporting
• Actively support the month-end close process by reviewing expenses during soft close identifying reclasses and partnering with Accounting to ensure accuracy of expenses vendor costs accruals and allocations prior to final close
• Prepare monthly variance analysis (actuals vs. budget/forecast) and clearly explain key drivers

COGS & Transaction-Driven Cost Management

• Support forecasting and analysis of transaction-driven costs including cloud infrastructure data platforms and third-party vendors
• Partner closely with Engineering and Operations to understand cost drivers such as transaction volumes API calls and bulk file usage and identify opportunities to optimize these costs
• Track and share monthly COGS and infrastructure cost trends ensuring alignment with Engineering Accounting and FP&A and proactively flagging emerging risks or changes
• Partner with Accounting to ensure accurate expense classification on the
• P&L including evaluating new vendors and determining appropriate OpEx vs. COGS treatment with clear supporting rationale
• Support ongoing efforts to refine COGS definitions forecasting methodologies and reporting clarity

Cross-Functional Partnership & Communication

• Act as a finance partner to Engineering Product Operations and G&A teams
• Translate financial results and forecasts into clear concise insights for non-finance stakeholders
• Ensure consistency and accuracy between internal management reporting and external-facing materials

Vendor & SaaS Procurement Oversight

• Partner with stakeholders to confirm spend aligns with budget forecast and business need and ensure approved contracts are accurately reflected in financial plans

Process Improvement & Ad Hoc Analysis

• Identify opportunities to improve forecasting accuracy model structure and planning processes
• Support strategic finance initiatives including vendor analysis tooling improvements and growth-related analysis
• Assist with special projects as the business scales

Qualifications :

• 37 years of experience in FP&A Corporate Finance or related roles
• Hands-on experience with Adaptive Planning (Adaptive Insights) required
• Working knowledge of financial and operational systems including Sage Intacct (ERP) HiBob (HRIS) and Looker (reporting/analytics)
• Strong experience with OpEx budgeting forecasting and variance analysis
• Advanced Excel / Google Sheets skills; ability to work with large datasets
• Experience building and maintaining driver-based financial models
• Strong executive-level communication skills with the ability to clearly and confidently partner with budget owners senior leaders and Csuite stakeholders

Preferred

• Experience supporting Engineering Technology or Infrastructure-heavy teams
• Exposure to COGS forecasting in a SaaS payments or fintech environment
• Familiarity with cloud cost drivers (e.g. AWS Datadog)
• Interest in improving planning processes and financial tooling

What Success Looks Like in This Role

• Adaptive Planning models are accurate well-maintained and trusted by stakeholders
• OpEx forecasts are timely well-supported and clearly explained
• Variances are tied to real business and operational drivers
• Budget owners feel supported and confident in their forecasts
• The FP&A team has reliable inputs for leadership reporting and decision-making

Why PayNearMe

PayNearMe is a payments fintech company solving complex payment challenges for leading enterprises. This role offers hands-on exposure to financial planning close partnership with cross-functional teams and the opportunity to grow within a high-impact FP&A organization.

Additional Information :

Why Join Us:

• Competitive salary and benefits with growth-company options grant
• Fast- paced and professional work culture
• Stock options with standard startup vesting - 1 year cliff; 4 years total
• $50 monthly communication expense stipend to go towards your phone/internet bill
• $250 stipend to enhance your WFH setup
• Reimbursement for peripheral equipment: monitor (up to $400) keyboard and mouse (up to $200)
• Premium medical benefits including vision and dental (100% coverage for employees)
• Company-sponsored life and disability insurance
• Paid parental bonding leave
• Paid sick leave jury duty bereavement
• 401k plan
• Flexible Time Off (our team members typically take off 3-4 weeks per year)
• Volunteer Time Off
• 13 scheduled holidays

Salary Range: $85000 - $115000

PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders.

Were in this together to do the right thing. We deliver real results we are proud of while remaining respectful transparent and flexible.

PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply.

CALIFORNIA CONSUMER PRIVACY ACT: APPLICANT NOTICE

Effective Date: January 1 2020

Last Reviewed on: December 23 2019

PayNearMe Inc. (the Company) is providing you with this Notice (Notice) to inform you about:

1. the categories of Personal Information that the Company collects and maintains about applicants; and
2. the purposes for which the Company uses that Personal Information.

For purposes of this Notice Personal Information means information that identifies relates to describes is capable of being associated with or could reasonably be linked directly or indirectly with a natural person that the Company may collect in connection with screening applicants for job openings at the Company.

1. Identifiers and Professional or Employment-Related Information. The Company collects identifiers and professional or employment-related information which may include some or all the following: real name nickname or alias postal address telephone number e-mail address membership in professional organizations professional certifications language skills and current and past employment history. The Company collects this Personal Information to evaluate previous job performance and consider applicants for positions to develop a talent pool and plan for succession to conduct applicant surveys to maintain an internal applicant directory and for purposes of identification to promote the Company as a place to work and for workforce reporting and data analytics/trend analysis.
2. Personal Information Categories from Cal. Civ. Code 1798.80(e). The Company may collect categories of Personal Information listed in Cal. Civ. Code 1798.80(e) other than those already listed above (a) to the extent necessary to comply with the Companys legal obligations such as to accommodate disabilities; (b) to conduct a direct threat analysis in accordance with the Americans with Disabilities Act and state law; (c) for occupational health and safety compliance and record-keeping; and (d) to respond to an applicants medical emergency.
3. Characteristics of Protected Classifications Under California or Federal Law. The Company may collect information about race age national origin disability sex and veteran status as necessary to comply with legal obligations including the reporting requirements of the federal Equal Employment Opportunity Act the federal Office of Contracting Compliance Programs (applicable to government contractors) and Californias Fair Employment and Housing Act. The Company collects this Personal Information for purposes including: to comply with Federal and California law related to accommodation. The Company also collects this category of Personal Information on a purely voluntary basis except where required by law and uses the information only in compliance with applicable laws and regulations.
4. Education Information. The Company collects education information such as resumes and graduation records. The Company collects this Personal Information to determine suitability for roles to determine eligibility for training courses and to assist with professional licensing.
5. Profile Data. The Company may collect profile data including the following: psychological assessments behavior analyses or other profiling of its applicants. The Company collects this Personal Information to determine aptitude for certain positions and job assignments as well.
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All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time