Architect and Optimize Data Foundations: Own the evolution of the BigQuery environment by designing and maintaining a scalable data architecture that integrates the MarTech stack and multiple Salesforce instances.
Drive Predictive Intelligence and Attribution: Develop and deploy advanced models, including Propensity and Marketing Mix Modeling, while managing Google Analytics 4 (GA4) and Google Tag Manager (GTM) to establish sophisticated multi-channel attribution frameworks.
Deliver Full-Stack Visualization and Insights: Design executive-level dashboards in Tableau and Looker Studio to provide actionable insights for Field Marketing and Paid Media teams, ensuring all reporting moves beyond "what happened" to "what to do next."

Numerous years of experience in quantitative roles such as Analytics, Data Engineering, or Data Science, specifically within a Business-to-Business (B2B) marketing funnel.
Expert technical knowledge of SQL, BigQuery, and Google Cloud Platform, alongside proficiency in Python or R for statistical modeling and JavaScript for web tracking.
Proven ability to translate technical findings into clear narratives for non-technical senior leadership, balancing long-term infrastructure projects with urgent ad-hoc requests.
A Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Economics, or Engineering.

Competitive compensation and benefits aligned with your experience.
Flexible work options to support a healthy work-life balance.
Comprehensive health, wellness, and retirement plans.
Opportunities for continuous learning and professional growth within a global environment.

Marketing Analytics Specialist

Key skills