Drive advanced marketing analytics at scale, delivering predictive insights, experimentation, and data pipelines to optimize spend in a B2B SaaS context.

• Own attribution frameworks, MMM/MTA, and A/B testing programs to improve marketing ROI.
• Standout: Build AI-driven insights and scalable data pipelines across marketing tech stacks.
• Partner with IT to cleanse, integrate data, and enable long-term analytical rigor.

Responsibilities

• Lead in-depth analysis of marketing campaign performance across various channels (e.g., paid media, email, web, social) to identify trends, patterns, and opportunities for optimization; drive budget allocation decisions through modeling (ROI, MMM, MMA), directly influencing marketing spend.
• Move beyond historical, backward-looking reporting to predictive insights and prescriptive recommendations to not only forecast demand but provide specific strategic recommendations to stakeholders
• Build and manage experimentation (A/B testing) frameworks to test hypotheses and optimize marketing strategies.
• Partner with IT to build scalable data pipelines, writing reusable code to cleanse and integrate disparate datasets for long-term analytical rigor.
• Stay current with industry trends and emerging technologies, including AI and machine learning applications in marketing analytics, to identify opportunities for innovation and efficiency; develop AI-driven insights and automation, not just dashboards; foster data and AI-driven culture by upskilling teams and promoting literacy across Marketing.

Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics); a Master’s degree or MBA is highly preferred
• 10+ years in marketing analytics or data science preferably within the B2B technology or SaaS industry
• Deep expertise in B2B marketing analytics including campaigns, activation, lead scoring, pipeline attribution and digital analytics; strong understanding of ABM (Account-based Marketing), demand generation funnels, and customer lifecycle data
• Proven track record with attribution frameworks, KPI systems, and experimentation programs (A/B testing, MMM, MTA); deep knowledge of advanced statistical methods (econometrics, machine learning, propensity modeling, LTV forecasting etc)
• Strong technical proficiency with SQL, Python/R or SAS; experience with data visualization tools (e.g., Looker, Tableau) to effectively communicate findings.
• Ability to leverage cloud technologies for scalable data processing and analysis, deep understanding of marketing tech stacks (Salesforce, Google Analytics 4) and cross-system data flows
• Exceptional ability to synthesize complex data into clear business insights for technical and executive audiences
• Demonstrated ability to manage multiple projects, prioritize effectively, and work in a fast-paced, dynamic environment
• Systems thinking with focus on data quality, metric governance, and privacy-by-design principles

Nice To Have

• Master’s degree or MBA is highly preferred

Benefits

• medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.