Staff Marketing Strategy Analyst

The ideal candidate thrives at the intersection of marketing strategy, analytics, and data science—setting direction, aligning partners, and influencing outcomes at all levels of the organization. Core Responsibilities (Strategy Design + Analytics and Data Science Execution + Leadership): • Own ambiguous, complex problem spaces end-to-end • Frame unclear business needs into well-scoped analytical problem statements, hypotheses, and decision pathways • Define success metrics, measurement strategy, and evaluation methodology tied to business OKRs • Drive work independently across multiple concurrent priorities with minimal oversight • Set analytical strategy and scalable frameworks • Establish and evolve the marketing analytics framework for optimization, measurement, and experimentation at scale • Architect repeatable approaches for: • Enhanced campaign reach and effectiveness • Measurement and experimentation • Incremental lift and causality • Optimization and scenario planning • Translate strategy into operational playbooks and scalable “data products” (data blocks, model scores, operationalization pipelines, experimentation standards) • Deliver advanced analytics that changes business decisions • Lead advanced analyses using statistical modeling, predictive approaches, and experimentation/causal inference techniques to identify drivers of ROI and customer outcomes • Perform “what-if” and sensitivity analyses to quantify tradeoffs, risks, and expected impact • Diagnose performance issues across funnel stages (awareness → conversion → retention), translating findings into concrete action plans • Lead through influence • Serve as a strategic connector across Marketing, Sales, MarTech, Data Science, Data Engineering, Data Strategy, and other analytics teams • Facilitate alignment on approach, methodology, governance, scope, requirements, and roadmaps • Build coalitions, negotiate tradeoffs, and drive decisions when stakeholders have competing priorities • Executive-ready communication and storytelling • Create crisp, compelling narratives that communicate: • What we learned • What it means for the business • What we recommend • How we will measure impact • Present insights to senior leaders and executives; proactively manage risk, uncertainty, and methodology limitations with clarity • Raise the bar for analytics maturity • Proactively identify opportunities to improve marketing effectiveness through better data, tools, or processes • Evangelize data-driven decision-making, strategic thinking, and experimentation best practices across the organization • Mentor peers and junior analysts on analytical rigor, storytelling, and stakeholder management • Identify capability gaps and propose solutions (tooling, data, operating model, training, governance) Vanguard is not offering visa sponsorship for this position. About Vanguard To work for the long-term financial wellbeing of our clients.