About
I'm a data leader who bridges the gap between technical infrastructure and business growth. With 7 years of experience at high-growth SaaS companies, I specialize in building marketing attribution systems, optimizing multi-million dollar ad spend, and creating data products that drive measurable ROI.
My expertise spans the full analytics stack—from dbt data modeling and pipeline architecture to statistical modeling and executive reporting. I've led teams that increased marketing ROI by 30%, optimized $6M+ in annual ad spend, and built data infrastructure serving 100+ stakeholders.
I'm passionate about leveraging AI tools and modern data practices to accelerate insights and empower data-driven decision making across cross-functional teams.
Experience
Marketing Analytics Lead
Brightwheel • Remote • Aug 2024 - Present
- • Increased marketing ROI by 30% by building end-to-end multi-touch attribution model that optimized $6M annual ad spend allocation using SQL, Python, and statistical modeling
- • Reduced time-to-insight by 75% by automating executive reporting workflows with AI tools, delivering weekly C-suite performance analyses
- • Improved stakeholder trust by 40% by designing marketing data infrastructure serving 100+ GTM team members across Sales, Marketing, and Customer Success
Senior Growth Marketing Manager
dbt Labs • San Francisco • Aug 2022 - Jan 2024
- • Generated additional pipeline value by developing Product-Led Growth program that increased qualified sales meetings from signups by 40% over 2 quarters
- • Reduced customer acquisition costs by 8% while improving conversion rates by 15% through ML-based lead segmentation and behavioral scoring models
- • Built warehouse-based marketing operations stack with Snowflake, dbt Cloud, Hightouch, and Salesforce to enable real-time lead scoring
Senior Marketing Analyst
Front • San Francisco • Aug 2019 - Aug 2022
- • Optimized $3M annual marketing spend allocation by designing marketing attribution reporting that provided real-time ROI visibility across demand generation channels
- • Enabled data-driven decision making by implementing Looker as primary BI platform and building 50+ LookML models for GTM performance tracking
- • Improved stakeholder productivity by 40% through comprehensive data documentation and self-service analytics capabilities
Growth Marketing Analyst
The Information • San Francisco • Feb 2018 - Aug 2019
- • Increased subscription revenue visibility by building 35+ executive dashboards providing C-suite real-time insights into growth and engagement metrics
- • Improved product-marketing strategy by designing A/B testing framework with statistical protocols that informed strategic decisions
Portfolio
Multi-Touch Attribution System
End-to-end attribution model built with Python, SQL, and dbt that optimized $6M+ ad spend allocation across 15+ marketing channels. Increased ROI accuracy by 30% and enabled real-time budget optimization.
ML-Based Lead Scoring Engine
Machine learning pipeline that scores leads in real-time using behavioral data and demographic features. Improved sales productivity by 30% and reduced customer acquisition costs by 8%.
Executive Analytics Dashboard
Real-time executive dashboard built in Looker with 50+ LookML models providing C-suite visibility into pipeline performance, marketing ROI, and growth metrics. Serves 100+ daily active users.
Automated A/B Testing Framework
Statistical testing framework with automated significance monitoring and results interpretation. Reduced testing cycle time by 60% and improved experiment reliability across product and marketing teams.
Contact
I'm always interested in new opportunities to drive growth through data-driven insights. Currently seeking senior analytics roles at high-growth SaaS companies where I can optimize marketing spend, build scalable data infrastructure, and lead cross-functional analytics initiatives.