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
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves developing and deploying network security measures, managing DDoS defenses, and improving security practices across the organization's hybrid cloud network.
Top Skills:
AlgosecAnsibleAWSBgpDdosFiremonGCPIpsecOspfSdnTcp/IpTufin
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The Cloud FinOps Practitioner will design and implement cloud financial operations, focusing on cost optimization, governance, and collaboration across teams to enhance efficient cloud usage.
Top Skills:
Amazon Web ServicesCloudabilityCloudboltCloudhealthGCPAzure
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
