Senior/Staff, Marketing Data Analyst, Enterprise Growth

BioRender is on a mission to accelerate the world’s ability to learn, discover, and communicate science. They are seeking a Staff Marketing Data Analyst to serve as a strategic analytics partner to the CMO and Demand Generation team, focusing on increasing Marketing-Sourced ARR and Enterprise Pipeline.

Responsibilities:

• Drive analysis directly tied to Marketing-Sourced ARR and Enterprise Pipeline, ensuring marketing investments are measurable and defensible
• Leverage AI tools to accelerate revenue analysis, surface funnel insights, and increase experimentation velocity across Marketing and Sales
• Establish and refine attribution frameworks that connect campaigns to pipeline and closed-won revenue
• Analyze behavioral data across website journeys, campaign touchpoints, and qualification flows to identify high-intent enterprise signals
• Diagnose MQL to SQL to closed-won funnel performance and uncover structural pipeline leakage
• Partner with Sales leadership to analyze qualification patterns, call outcomes such as Gong insights, and conversion drivers
• Evaluate paid and organic channel performance based on incremental pipeline and ARR
• Turn organic and inbound traffic into qualified enterprise pipeline through segmentation and funnel optimization
• Shape and prioritize the marketing experimentation roadmap with a clear focus on measurable revenue impact
• Design and analyze statistically sound marketing and funnel experiments, balancing speed and business confidence
• Replace manual reporting with scalable data models and automated analyses using SQL and warehouse tooling
• Establish consistent metric definitions across Marketing and Sales to ensure durable alignment

Requirements:

• Proven ownership of revenue-impacting analytics with direct influence on Marketing-Sourced ARR, Enterprise Pipeline, or CAC efficiency in a B2B SaaS environment
• AI-forward analytical practice with clear examples of using LLMs or automation to accelerate insight generation, improve funnel diagnostics, and scale experimentation
• Deep expertise in enterprise B2B funnels including MQL to SQL to closed-won conversion, pipeline leakage identification, and sales acceptance dynamics
• Strong attribution and measurement experience with the ability to design, refine, and defend attribution frameworks in conversations with senior marketing and revenue leaders
• Staff-level strategic influence with demonstrated experience challenging assumptions, reallocating budget based on ROI, and protecting marketing investment discipline
• Strong experimentation judgment with experience designing statistically sound marketing and funnel tests prioritized around revenue impact
• Automation-first systems mindset with advanced SQL proficiency and comfort working across warehouse modeling tools such as dbt, BI platforms, and Python or R
• Experience operating in complex B2B SaaS environments with enterprise sales motions, longer sales cycles, and tight alignment between Marketing and Sales