Senior Product Data Analyst

Versapay

23h • Remote

About The Position

Versapay turns accounts receivable (AR) into a competitive advantage.

Inefficient AR processes slow cash flow and stall growth. Versapay removes friction, unlocks working capital, and accelerates momentum — giving finance leaders the clarity and control they need to drive business forward.

Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity. With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually.

The Analytics team at Versapay unlocks growth and drives efficiency through data-driven insights. As our Senior Product Data Analyst, you will be the primary data partner for our Product organization, bridging the gap between raw behavioral data in Snowflake and the strategic product roadmap.

You will play a pivotal role in modernizing how Versapay understands user behavior and feature performance. Moving beyond basic reporting, you will build scalable analytics engineering models and advanced frameworks that empower our Chief Product Officer and Product Managers to make high-stakes decisions with absolute confidence.

While your immediate focus will be on increasing analytical velocity and solidifying stakeholder partnerships through operational excellence, your role will quickly evolve into a strategic seat at the table. You will support the launch of next-generation features, including AI-powered predictive AR and embedded financial services, helping Versapay transform from a platform into an intelligent operating system.

Reporting to the VP of Analytics but functioning as a dedicated partner to the Product team, you will:

Requirements

• 5+ years of experience in a product data analytics role, specifically supporting Product Management or engineering teams.
• Advanced SQL & Analytics Engineering: Expert-level ability to write complex, performant queries and a deep understanding of how to structure behavioral data for self-service analysis.
• Technical Stack: Proficient in Python for data manipulation and Tableau for high-impact visualization.
• Product Growth Literacy: Solid understanding of product-led growth (PLG) metrics, retention analysis, and user lifecycle modelling.
• Statistical Foundation: Practical experience with regression analysis, hypothesis testing, and a strong desire to explore AI/ML opportunities in a product context.
• A "Builder" Mindset: You thrive in fast-paced environments where you can build net-new frameworks and processes rather than just maintaining the status quo.
• Intellectual Curiosity: You are a natural "puzzle-solver" with an unquenchable desire to understand the "why" behind the data.
• Humble Collaboration: You are assertive with your insights but approach every interaction with humility, seeking to help your teammates and stakeholders succeed.
• Trusted Advisor: You possess a high degree of integrity and a relentless pursuit of the truth, even when the data challenges existing assumptions.

Nice To Haves

• Direct experience in Payments Strategy or the B2B payment ecosystem.
• Background in Lending, Credit Management, or modeling financial risk data.
• Experience with Agentic AI or implementing ML-driven features within a SaaS product.

Responsibilities

• Analytics Engineering & Modelling: Design and maintain robust, documented data models in Snowflake that serve as the "source of truth" for product health, moving the team toward higher standards of data observability and reduced tech debt.
• Roadmap Acceleration: Partner with Product leadership to execute against their roadmap, specifically providing the analytical backbone for International Receivables, Agentic AI workflows, and embedded lending initiatives.
• Stakeholder Trust & Advisory: Serve as the lead analytical advisor to the CPO and Product Managers, translating complex data into actionable narratives that influence product strategy and development prioritization.
• Behavioral & Funnel Analysis: Conduct deep-dive research into user journeys to identify friction points and opportunities to enhance product stickiness.
• Advanced Statistical Insights: Move beyond descriptive BI to implement predictive models, ensuring our product intelligence remains industry-leading.
• Experimentation Frameworks: Design and analyze A/B tests and causal inference models to measure the impact of new features on key metrics like DSO reduction and customer adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed