Marketing Analytics Lead

Who are we?At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.Our Analytics team at UpGuard supports all of our teams to extract key insights from the data that we collect. We extract data from multiple sources and build insightful dashboards that display key metrics and support leaders in decision-making. We also build integrations between systems to collect required data seamlessly. Where does this role fit in? As UpGuard continues its rapid growth trajectory, we are seeking an experienced data analyst to support our Marketing team. Reporting to the Director of Analytics, this critical role is responsible for driving significant business value by quantifying marketing performance, illuminating the contribution of every channel and program, and translating ambiguous marketing questions into durable data models and insights. The analyst will partner closely with Demand Generation, Partner Marketing, Field Marketing, Product Marketing, and Brand to help the Marketing team understand what's working, where to invest the next dollar, and how pipeline is being built across the full funnel.What will you do?Actionable Insight: Generate compelling and actionable insights from complex, multi-source marketing data sets that directly inform channel investment, campaign design, and pipeline strategy.Stakeholder engagement: Establish strong collaborative relationships with marketing leaders and operators across demand gen, partner, field, product marketing, and brand, delivering high-impact analytics initiatives that translate loose, evolving requirements into clear deliverables.Attribution & Measurement: Design, build, and maintain the attribution framework for UpGuard – spanning first and multi-touch attribution and incrementality testing – and clearly communicate the trade-offs and assumptions behind each lens.Channel & Program Analytics: Develop a deep, first-principles understanding of channel logic across paid media, organic, content, lifecycle, partner, and field, and build the metrics, models, and dashboards that let each program owner self-serve their performance.Data Products: Partner with the data engineering team to design, construct, and maintain foundational marketing data assets – translating loose marketing requirements into well-specified dbt models that the whole organisation can rely on.Business Intelligence: Partner strategically with marketing stakeholders to provide robust self-service and conversational analytics capabilities, using design thinking principles to build user-friendly dashboards for funnel performance, channel ROI, partner sourced pipeline, and field event attribution.Deep Dive analysis: Personally conduct thorough, hands-on, technical analysis to diagnose and solve the most significant marketing challenges – from channel saturation and diminishing returns to lead quality decay and campaign cannibalisation.Commercial Analysis: Provide ongoing operational support to the commercial growth of the organisation, connecting marketing investment to pipeline, ARR, and payback in ways that finance and the executive team trust.What will you bring?Proven Leadership: 4+ years delivering analytics solutions for Marketing teams within a high-growth SaaS company.Marketing Domain Expertise: Strong working knowledge of channel logic across paid, organic, lifecycle, partner, and field marketing – including how each channel is planned, instrumented, and measured – and fluency in attribution methodologies (multi-touch, incrementality, and marketing mix modelling).Partner & Field Marketing Fluency: Understanding of how partner-sourced and partner-influenced pipeline is tracked, and how field marketing programs (events, conferences) are measured against pipeline and revenue outcomes.Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving marketing requirements and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.Consulting Background: Experience in a consulting role, successfully managing a diverse portfolio of projects across various companies and stakeholder groups.Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, OMNI, Looker).Exceptional Busi