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
Top Skills
Ai Tools
Bi Platforms
Dbt
Python
R
SQL
Similar Jobs
Security • Cybersecurity
The Senior Marketing Data Analyst will analyze marketing data to understand trends, provide strategic insights, maintain data integrity, lead AI-driven analytics, and partner with marketing teams for improved performance.
Top Skills:
SigmaSnowflakeSQL
Healthtech • Software
The RN Reviewer performs medical necessity reviews, collaborates with providers, documents accurately, and identifies opportunities for improvement in healthcare delivery.
Top Skills:
CarewebqiGoogle WorkspaceMcg
Healthtech • Software
The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.
Top Skills:
AWSCloud PlatformsDeep LearningMachine LearningPythonPyTorch
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
