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.
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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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