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OpenAsset · 1 day ago

Sr. FP&A Analyst

New York, NY

Full-time

Hybrid

Mid, Senior Level

$90K/yr - $130K/yr

3+ years exp

OpenAsset is the leading marketing platform for the Architecture, Construction, and Engineering industries, trusted by over 1,000 clients for 20 years. They are seeking a highly analytical Senior FP&A Analyst to support the company’s growth through accurate financial forecasting, financial modeling, and collaboration with Sales and Finance leadership to enhance reporting and financial planning capabilities.

ArchitectureConstructionDigital MarketingMarketingReal EstateSaaSSoftware

Culture & Values

No H1B

Responsibilities

Maintain and enhance dynamic financial models for revenue, headcount, expenses, and cash flow

Prepare and deliver monthly reporting packages, including variance analyses, management dashboards, and key SaaS metrics

Support the annual budgeting process, quarterly re-forecasts, and scenario planning to guide executive decisions

Calculate, validate, and process monthly sales commission payouts with accuracy and transparency

Maintain clear documentation of commission plans, governance, and dispute resolution procedures

Provide ad-hoc performance analyses across GTM teams, including SaaS metrics (ARR, NRR, churn, CAC payback, LTV) and pipeline efficiency

Partner with RevOps and Sales leadership to align commission performance with strategic objectives

Support month-end close deliverables and reconciliations in partnership with the Accounting team

Assist when needed with relevant U.S. tax and compliance requirements, assessing their impact on reporting and operations

Uphold strong internal controls across revenue recognition, commissions, and accounting processes

Partner with RevOps to automate and improve the pipeline → bookings → revenue reporting workflow

Identify and implement process improvements to enhance speed, accuracy, and scalability of reporting

Assist with system integrations between CRM (Salesforce), FP&A tools, and emerging AI analytics initiatives to improve data flow and forecast accuracy