Product Analyst

Guardio is on a mission to redefine consumer cybersecurity for the modern internet.



We operate at consumer scale, protecting millions of people every day across devices, accounts, and digital touchpoints. In a world where phishing, fraud, and AI-powered scams evolve overnight, Guardio stays ahead of the curve.

We move fast, think deeply, and build with purpose. Our culture is rooted in transparency, feedback, and collaboration along with shared wins, team dinners, company trips, and good times.

We’re a team of 100+ makers, doers, and boundary-breakers. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of online safety, you belong here.

So, what’s the job?

We’re looking for a Product Analyst to join Guardio’s Analytics Team and act as a true product partner.

In this role, you’ll work closely with Product Managers, R&D and Growth to shape product decisions through rigorous analysis and experimentation. You’ll own end-to-end analytical workflows - from framing problems, through exploration and experiments, to actionable recommendations.

This is a high-impact role focused on product strategy, user experience, and measurable outcomes.

You will

• Act as an analytics partner to Product Managers, influencing roadmap and prioritization through data
• Own product analyses end-to-end - problem framing, exploration, modeling, and insights
• Lead A/B tests and product experiments - hypothesis design, metric definition, statistical validation, and interpretation
• Analyze user behavior, funnels, retention, cohorts, and feature adoption to surface opportunities and risks
• Build clear dashboards, narratives, and decision frameworks for stakeholders
• Translate ambiguous product problems into structured analytical approaches
• Collaborate with stakeholders across Product, CS and R&D to ensure alignment on growth priorities and share actionable insights
• Leverage modern analytics and AI tools (e.g. Cursor, Claude) to accelerate analysis and delivery

Sounds great! Am I the right fit?

Well, you have a good chance of being that person if you check as many of these as possible:

• 4+ years of experience in Product Analytics / Data Analytics
• Strong SQL skills on large, complex datasets
• Data visualization skills - ability to present data clearly and accurately to support decision-making
• Proven hands-on experience with A/B testing and experimentation methodologies
• Deep understanding of product metrics - funnels, retention, cohorts, activation, feature adoption
• Product mindset - ability to translate user behavior into actionable product decisions, not just present numbers
• High ownership and comfort working in ambiguity
• Excellent communication and storytelling skills, with confidence presenting to senior stakeholders

We care less about specific tools and more about how you think and influence - your product judgment and ability to turn data into decisions