Responsibilities

• Lead marketing performance analysis: Own end-to-end analysis of campaign, digital, and demand generation performance, going beyond reporting to diagnose root causes, surface emerging trends, and deliver recommendations that directly accelerate pipeline growth and revenue contribution.
• Define and measure success: Architect and continuously evolve marketing KPI frameworks and measurement methodologies that create a clear line of sight between marketing activities and business outcomes, including pipeline generation, revenue influence, customer acquisition cost, and lifetime value.
• Deliver strategic insights: Transform complex, multi-source datasets into concise, decision-ready narratives that drive marketing strategy, sharpen budget allocation, and unlock program performance while communicating findings with clarity to both technical and executive audiences.
• Partner cross-functionally: Serve as a trusted analytics partner across Marketing, Revenue Operations, Sales Operations, and Finance, driving alignment on data definitions, attribution models, and reporting standards to ensure a single source of truth for performance metrics.
• Build scalable reporting and dashboards: Design, build, and maintain executive-ready dashboards and a robust reporting infrastructure that deliver real-time visibility into marketing performance across campaigns, channels, and funnel stages, enabling faster and more confident decision-making.
• Conduct advanced analysis: Lead sophisticated analytical initiatives including funnel conversion analysis, cohort studies, multi-touch attribution modeling, and forward-looking performance trend forecasting to guide strategic marketing investments and resource prioritization.
• Leverage AI and automation to drive insights: Integrate AI-powered tools and automated analytics workflows to accelerate data processing, uncover deeper patterns in marketing performance, and deliver predictive insights that keep the marketing organization ahead of trends and competitive shifts.
• Ensure data quality and governance: Champion data integrity by establishing and enforcing consistent data definitions, reporting standards, and documentation practices, building the reliable analytical foundation that the business depends on for accurate performance measurement.
• Support strategic planning: Act as a key analytical contributor to marketing planning cycles, delivering rigorous, data-driven forecasts, scenario models, and goal-setting frameworks that ground ambition in evidence and drive organizational accountability.