versapay - Senior Product Data Analyst
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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.
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. • 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. • ## What will make you stand out: • 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.
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