As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.
At BioRender, we’re on a mission to accelerate the world’s ability to learn, discover, and communicate science — transforming how knowledge is shared and making science open, collaborative, and easily understandable by all.
We’re shaping the future of science communication and are looking for talented individuals to help bring this vision to life! 🚀
As a Staff Marketing Data Analyst on the Data team, you will serve as the strategic analytics partner to our CMO and Demand Generation team. Your mandate is to increase Marketing-Sourced ARR and Enterprise Pipeline by turning demand generation into a measurable, optimizable revenue engine. This role sits at the intersection of Marketing, Sales, and Data, with a strong focus on enterprise and full-service growth.
This is a rare opportunity to operate as a staff-level revenue partner with direct influence on marketing investment, sales conversion, and enterprise growth strategy.
What you'll be doing
- 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
What you bring to the table
- 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
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