Marketing Analytics Lead - Remote Eligible

Data Analyst

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.

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?

• Generate compelling and actionable insights from complex, multi-source marketing data sets that directly inform channel investment, campaign design, and pipeline strategy.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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?

• 4+ years delivering analytics solutions for Marketing teams within a high-growth SaaS company.
• 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).
• 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.
• 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.
• Experience in a consulting role, successfully managing a diverse portfolio of projects across various companies and stakeholder groups.
• 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).
• Ability to quickly understand complex business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
• Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including attribution and MMM trade-offs – to both technical and non-technical audiences and influence decision-making.
• Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with marketing and business objectives.
• Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.

What will give you an edge?

• Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure to uplift or lead score prediction modelling, or causal inference techniques.
• Hands-on experience with marketing source systems such as HubSpot, Salesforce, paid media platforms (Google Ads, LinkedIn, Meta), and lifecycle tools, and an understanding of how their data shapes downstream analytics.
• Experience connecting marketing analytics to FP&A processes – budget planning, payback modelling, CAC/LTV reporting, and board-level marketing narratives.

What's in it for you?

• Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
• WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
• $1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
• Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
• 18 weeks paid Parental Leave: Irrespective of parenting role
• Personal Leave Allowance: This includes sick & carer's leave
• Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
• Top-spec hardware: All team members will be provided with top-spec laptops for their role
• Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work