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 investing in an Analytics Engineer to architect the foundational data layer that powers our entire growth engine.

Reporting to the Director of Analytics, this role is the critical bridge between complex commercial strategy and technical execution. You will completely own the modeled revenue data layer end-to-end, serving as the ultimate authority on the data models that Sales, Customer Success, Finance, and the executive team rely on to make enterprise-level decisions.

Operating as a senior individual contributor and the first Analytics Engineer, you will own the modeled revenue layer, partner closely with our Revenue Analytics Lead on how it's used to drive insight, and work hand-in-glove with Data Engineering on what lands in the warehouse upstream. Together, we will accelerate our ability to ship high-impact data products and establish the paradigms for how analytics engineering is practiced at UpGuard.

What will give you an edge?

High-Growth SaaS Experience: Time spent in a high-growth tech business, especially through the scale-up phase where the data layer has to evolve underneath a moving business.
RevOps Fluency: Hands-on experience working alongside Revenue Operations – territory and quota modeling, pipeline hygiene, forecast inputs, comp data.
Forecasting & Conversational Analytics: Exposure to forecasting workflows or conversational analytics surfaces, and a view on how the modeled layer needs to support them.
Finance Adjacency: Experience building models that bridge from Revenue analytics into FP&A – the seams where ARR meets recognised revenue, where pipeline meets plan.
Lifecycle Across the Stack: Familiarity with adjacent source systems – billing platforms, product usage data, customer success tooling – and how their data needs to slot into a coherent revenue layer.
Marketing Experience: While primarily focused on Revenue, in time there will be opportunities to provide support for the broader organisation, especially our Marketing function.

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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. 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.

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