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.
This is a ground-up build: the models and metric definitions this person creates will form the governed semantic layer that both humans and AI/agentic analytics tools query, so clarity and rigor in the modelling layer compounds directly into AI-enabled self-service.
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 and a governed semantic/metrics layer that both humans and AI agents can reliably query and traverse.
Business Intelligence: Partner strategically with marketing stakeholders to provide robust self-service and conversational and agentic 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.
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 Business Acumen: Ability to quickly understand complex business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
Communication & Influence: 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.
Strategic & Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with marketing and business objectives.
Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.
- AI Fluency: Fluency leveraging AI/LLM tools to accelerate analysis, code development, and documentation.
Data Science / AI Engineering: Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure to uplift or lead score prediction modelling, causal inference techniques, or building/evaluating the tool-calling and retrieval layers that let LLM agents query structured business data.
Marketing Tech Stack: 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.
Financial Acumen: Experience connecting marketing analytics to FP&A processes – budget planning, payback modelling, CAC/LTV reporting, and board-level marketing narratives.
- 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
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UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work, apply now to find out why!
As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
For applications to positions in the United States, please note, at this time we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.
Before starting work with us, you will need to undertake a national police history check and reference checks. Also please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
